Latest update: π¦πΊ 01:55 π 15 Apr 2024

Techinvestment.com invests in technology companies. This page includes a personalised tutorial from ChatGPT on quantum computing (as of the date of ChatGPT's training data). It is supported by lookups from Wikiwand and our own research.

Our objective is not to become experts in the subject: we're not scientists or engineers. Our objective as investors is to understand a new area of investment opportunity directly (eg computer manufacturers and service providers) and indirectly (eg improving the capability and competitiveness of companies that use quantum computing, eg with artificial intelligence to develop new products, services and markets). That's how we see our job.

One of the classic tests is to compare the speed of solving specific tests against classical computers: eg claiming that Google's Sycamore 54 qubit quantum computer can perform a task in 200 seconds that would take IBM's supercomputer about 10,000 years: Nature: "Quantum supremacy using a programmable superconducting processor" 23 Oct 2019. This is referred to as β―οΈ "quantum supremacy" (ie quantum advantage - "supremacy" - over classical digital computing).

A simple explanation may be described this way. Take a pea and shell game, where a pea is placed under one of 3 shells and the task is to identify which shell the pea is placed under. A classical computer would start at one end and turn over one shell after another until the pea is found. Change the problem to one pea and a million shells. The quantum computer finds the pea by turning over all shells at the same time. [OK scientists, please feel free to give me a better example]. Quantum computing provides the opportunity to solve certain types of problem that cannot be solved by classical computers - but don't expect one to be capable of understanding tax legislation: that's a challenge for any technology.

Beyond quantum computing, quantum physics technology provides exceptional opportunities for security - especially detection of security breaches based on the SchrΓΆdinger principle.

Latest developments and future directions in quantum computing technology - in particular use of the attributes (eg spin) of sub-atomic particles

Gravitons: "While the matter particles of the Standard Model are spin 1/2 and the Standard Model force-carrying particles have a spin of 1, gravitons must have a spin of 2. This proceeds from the fact that gravity stems from the distribution of energy and momentum in the universe. It turns out that this spin thing can prove that any massless spin-2 particle must act exactly as a graviton is predicted to behave. Thus if we find a spin-2 massless particle, we'll know it's a graviton. This spin-2 behavior also explains the fact that conventional gravity only attracts, unlike electromagnetism, which both attracts and repels." Fermilab

22 Mar 2024: South China Morning Post reports that "Scientists from China, US and Germany find electrons to have spin only expected in gravitons", a long-sought-after particle that gives rise to gravity.

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In quantum computing there seems to be an interest in sub-atomic particles, such as bosons that spin in integer values (0, 1, 2, etc.) and fermions that spin in odd half integer values (1/2, 3/2, and 5/2, but not 2/2 or 6/2).

Could you explain, please, what it means for fermions to spin in half integer values?

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In quantum mechanics, particles like electrons, protons, and neutrons are classified into two main categories: fermions and bosons. One of the key distinguishing characteristics between fermions and bosons is their intrinsic angular momentum, commonly referred to as "spinβ.

Spin is a quantum mechanical property that doesn't have a direct analog in classical physics but can be loosely thought of as the intrinsic angular momentum of a particle. However, it's important to note that spin isn't really spinning in the classical sense; it's a fundamental property of particles in the quantum world.

Fermions are particles that obey the Pauli Exclusion Principle, which states that no two fermions can occupy the same quantum state simultaneously. This principle is crucial in understanding the behavior of electrons in atoms, for example:

Fermions have spin values that are half-integer multiples of Δ§ (the Reduced Planck Constant), such as 1/2, 3/2, 5/2, and so on. This means that when you measure the spin of a fermion along a particular axis (say, the z-axis), you can only get one of two possible results: either +1/2 or -1/2 times Δ§.

The fact that fermions have half-integer spin values is a consequence of their quantum nature and the underlying principles of quantum mechanics. It's one of the fundamental properties that distinguishes fermions from bosons.

In contrast, bosons, such as photons and gluons, have integer values of spin (0, 1, 2, etc.). Unlike fermions, bosons do not obey the Pauli Exclusion Principle and can occupy the same quantum state simultaneously.

So, in summary, when we say that fermions have spin values in half-integer increments, it means that their intrinsic angular momentum is quantized in a specific way dictated by the rules of quantum mechanics, and this property has profound implications for the behavior of matter at the subatomic level.

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Could you illustrate (in words obviously) the Pauli Exclusion Principle: "no two fermions can occupy the same quantum state simultaneously"?

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Certainly! Let's imagine a scenario with two identical fermions, such as two electrons. The Pauli Exclusion Principle states that these two electrons cannot occupy the exact same quantum state simultaneously.

Now, what does it mean for two particles to occupy the same quantum state? In quantum mechanics, particles are described by various properties, including their energy, momentum, position, and spin. A quantum state is essentially a complete description of these properties for a particle.

So, if two fermions cannot occupy the same quantum state, it means that they cannot have identical values for all of their quantum properties at the same time. For example:

- Position: If one electron is located at a specific point in space, the other electron cannot occupy that exact same point simultaneously. This prevents them from being on top of each other in the same place.
- Spin: If one electron has a spin of +1/2 along a certain axis, the other electron cannot have the same spin along that axis. The second electron must have a spin of -1/2 along that axis or some other spin state. This ensures that they don't have identical spin configurations.
- Energy and Momentum: If one electron has a specific energy and momentum, the other electron cannot have precisely the same energy and momentum. They may have similar values, but they cannot be exactly the same.

This principle is crucial in understanding the behavior of fermions in various systems, particularly in atoms. It's what gives rise to the structure of the periodic table, as electrons arrange themselves in different quantum states around atomic nuclei, each obeying the Pauli Exclusion Principle. Without this principle, matter as we know it wouldn't exist in its current form, and the stability of atoms would be fundamentally different.

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Could you please explain this statement: "Several bosons in the same quantum state can collect into what is known as a 'Bose-Einstein Condensate(BEC).'β

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When multiple bosons, such as photons or certain types of atoms, occupy the same quantum state, they can exhibit a phenomenon called a "Bose-Einstein Condensate (BEC)". This is a fascinating state of matter predicted by Satyendra Nath Bose and Albert Einstein in the early 1920s.

In a Bose-Einstein Condensate (BEC), a large number of bosons, often cooled to extremely low temperatures, *all occupy the lowest possible energy state, known as the ground state, and essentially behave as a single quantum entity*. At such low temperatures, the individual wave functions of the bosons start to overlap significantly, leading to the collective behavior.

Here's a breakdown of the key points:

- Low Temperatures: Creating a BEC requires extremely low temperatures, typically only a fraction of a degree above absolute zero. At these temperatures, the thermal energy is so low that the quantum effects dominate the behavior of the particles.
- Quantum Mechanical Effects: In the quantum world, particles don't behave like classical objects with well-defined positions and velocities. Instead, they have wave-like properties described by wave functions. When many bosons are cooled to extremely low temperatures, their wave functions start to overlap, and they can occupy the same quantum state.
- Macroscopic Quantum Phenomenon: The Bose-Einstein Condensate (BEC) is a macroscopic manifestation of quantum mechanics. Even though individual particles are subject to quantum uncertainty, when many of them come together in a BEC, their collective behavior becomes more predictable and coherent.
- Unique Properties: BEC exhibit fascinating properties, such as superfluidity and coherence times over macroscopic distances. Superfluidity means that the condensate can flow without any viscosity, meaning it flows forever without dissipating energy. Coherence refers to the fact that
*all the particles in the condensate act in unison, like one giant quantum wave*. - Experimental Realization: BECs were first experimentally realized in dilute atomic gases cooled to ultra-low temperatures using techniques like laser cooling and evaporative cooling. Since their discovery, BECs have been studied extensively in physics laboratories around the world for their unique properties and potential applications in fields like quantum computing and precision measurement.

Overall, the Bose-Einstein Condensate (BEC) represents one of the most remarkable manifestations of quantum mechanics at the macroscopic scale, offering insights into the nature of matter at its most fundamental level.

Macroscopic Quantum Phenomenon

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In your statement "When many bosons are cooled to extremely low temperatures, their wave functions start to overlap, and they can occupy the same quantum state." Does this mean that the bosons become entangled?

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Yes, indeed. When many bosons are cooled to very low temperatures and start to occupy the same quantum state, they can become entangled with each other. Entanglement is a fundamental phenomenon in quantum mechanics where the quantum states of two or more particles become correlated in such a way that the state of one particle is dependent on the state of another, even when they are physically separated. In the context of a Bose-Einstein Condensate (BEC), the individual particles lose their distinct identities to some extent as they overlap and occupy the same quantum state. This overlapping of wave functions leads to a high degree of entanglement among the particles within the condensate. The entanglement in a BEC contributes to its unique properties, such as coherence and superfluidity. For example, the entanglement allows the particles in the condensate to behave collectively, exhibiting coherent behavior over macroscopic distances without losing their quantum correlations. This coherence is crucial for the superfluidity observed in BECs, where the particles flow without resistance and act as a single entity. So, in summary, the formation of a Bose-Einstein Condensate involves not only the overlapping of wave functions but also the entanglement of the particles within the condensate, leading to the emergence of macroscopic quantum phenomena.

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How could Bose-Einstein Condensate be used in the architecture of a quantum computer?πππππππ

Bose-Einstein Condensate (BECs) have been proposed as a potential component in the architecture of quantum computers due to their unique quantum properties. Here are a few ways in which BECs could be utilized:- Quantum Gates: BECs can serve as qubits, the basic units of quantum information in a quantum computer. The quantum states of BECs can be manipulated using techniques such as laser cooling and trapping. By controlling the interactions between the atoms or particles comprising the BEC, it's possible to perform quantum logic operations, such as quantum gates, which are the building blocks of quantum algorithms.
- Quantum Entanglement: BECs can be used to generate and manipulate entangled states, which are a fundamental resource for quantum computing. Entanglement allows for correlations between qubits that are stronger than any classical correlation, enabling quantum computers to perform certain tasks more efficiently than classical computers.
- Quantum Simulation: BECs can be used to simulate the behavior of complex quantum systems, which is useful for understanding phenomena such as superfluidity, magnetism, and phase transitions. Quantum simulation involves encoding the properties of a quantum system into the states of qubits and manipulating those qubits to emulate the behavior of the original system.
- Quantum Sensing and Metrology: BECs can be used as ultra-sensitive detectors for measuring various physical quantities, such as magnetic fields, gravitational fields, and accelerations. This capability can be harnessed for quantum-enhanced sensing and metrology applications, which have potential applications in fields such as navigation, medical imaging, and fundamental physics research.
- Quantum Communication: BECs can be employed in the development of quantum communication protocols, which enable secure transmission of information over long distances using quantum principles. BECs could serve as the basis for quantum repeaters, which are devices that extend the range of quantum communication by mitigating the effects of signal loss in optical fibers.

In summary, Bose-Einstein Condensates offer a versatile platform for realizing various components of quantum computers, including qubits, quantum gates, quantum simulators, and sensors. Integrating BECs into the architecture of quantum computers could enable the development of more powerful and efficient quantum technologies with a wide range of applications.

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Please describe a qubit and how it is used in a quantum computer.

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A qubit, short for quantum bit, is the fundamental unit of quantum information in a quantum computer. Unlike classical bits, which can be either 0 or 1, a qubit can exist in a superposition of both states simultaneously. This property of superposition allows quantum computers to perform many calculations in parallel, potentially enabling them to solve certain problems much faster than classical computers.

The state of a qubit is described by a quantum state vector, which can be represented as a linear combination of the basis states **Ξ±|0β©** and **|1β©**.

Mathematically, a qubit can be written as:

**|Οβ© = Ξ±|0β© + Ξ²|1β©**

where Ξ± and Ξ² are complex numbers called probability amplitudes, and **|Ξ±|^2** and **|Ξ²|^2** represent the probabilities of measuring the qubit in the states **|0β©** and **|1β©**, respectively. Notably, the sum of the squares of the probability amplitudes must equal 1, ensuring that the total probability of finding the qubit in any state is 1.

Qubits can be manipulated using quantum gates, which are analogous to classical logic gates but operate on quantum states. Quantum gates perform transformations on the quantum state of one or more qubits, allowing for the implementation of quantum algorithms.

One of the most important properties of qubits is quantum entanglement. When qubits become entangled, the state of one qubit becomes dependent on the state of another qubit, even when they are separated by large distances. This entanglement enables quantum computers to perform operations that are not possible with classical computers and forms the basis of many quantum algorithms, such as quantum teleportation and quantum key distribution.

In summary, qubits are the building blocks of quantum computers, and their unique properties, including superposition and entanglement, enable quantum computers to perform complex calculations and solve problems that are intractable for classical computers. By manipulating the quantum states of qubits using quantum gates, quantum algorithms can be executed to perform tasks ranging from optimization and cryptography to simulation and machine learning.

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Whoa - let's go back to "**Mathematically, a qubit can be written as: |Οβ© = Ξ±|0β© + Ξ²|1β©**"

A qubit can also be written as **|Οβ© = Ξ±|ββ© + Ξ²|ββ©**

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That formula is describing a quantum state. Let me break it down for you:

**|Οβ©**is the symbol representing the**quantum state**.**Ξ±**and**Ξ²**are numbers called**probability amplitudes**.**|0β©**and**|1β©**, or**Ξ±|ββ© and Ξ²|ββ©**represent**two possible states of a quantum system**. These are often called "**qubits**," and they can be thought of as being in two different states at the same time due to a property called**superposition**.

So, the formula is saying that the quantum state **|Οβ©** is a combination of two states, **|0β©** and **|1β©**, with coefficients **Ξ±** and **Ξ²** respectively. The squares of the absolute values of **Ξ±** and **Ξ²** give the probabilities of finding the system in the states **|0β©** and **|1β©** when measured.

In simpler terms, imagine you have a quantum system, like a qubit (which can represent, say, the spin of an electron). This formula is saying that **the quantum state of that qubit, |Οβ©**, can be a mixture of two basic states, **|0β©** and **|1β©**. The **Ξ±** and **Ξ²** values tell you how much of each state is in the mixture. When you measure the qubit, you'll find it in state **|0β©** with probability **|Ξ±|Β²** and in state **|1β©** with probability **|Ξ²|Β²**.

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OK: Got that, thanks.

What coding languages are used in quantum computing?

Is Qiskit a commonly used language?

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In quantum computing, several programming languages and frameworks are used for developing quantum algorithms, simulating quantum systems, and interfacing with actual quantum hardware. Some of the commonly used languages and frameworks include:**Qiskit**: Qiskit is an open-source quantum computing framework developed by IBM. It provides tools for writing quantum algorithms, simulating quantum circuits, and interfacing with IBM's quantum processors through the cloud. Qiskit offers a Python-based interface, making it accessible to both quantum researchers and software developers.**Quipper**: Quipper is a functional programming language for quantum computing developed at Microsoft Research and the University of Oxford. It is designed to express quantum algorithms in a high-level, functional style, allowing for concise and readable code.**Cirq**: Cirq is an open-source quantum computing framework developed by Google. It allows users to write quantum algorithms and simulate quantum circuits using Python. Cirq is designed to be flexible and suitable for both researchers and developers working on quantum computing projects.**Quil instruction set**: PyQuil is a Python library for writing and executing quantum programs using the Quil instruction set, which is the native language of Rigetti Computing's quantum processors. It provides tools for defining quantum circuits, compiling them into executable programs, and interfacing with Rigetti's quantum hardware.**Q# Microsoft Quantum Development Kit**: Microsoft provides a Quantum Development Kit, which includes the**Q# programming language**and associated tools for developing quantum algorithms. Q# is a domain-specific language designed for expressing quantum operations and algorithms in a high-level, structured manner.

Regarding your question about Qiskit, yes, Qiskit is indeed a commonly used language/framework in the quantum computing community. It has gained popularity due to its ease of use, comprehensive documentation, and support from IBM, one of the leading companies in quantum computing research and development.

This is a very simple example of a quantum circuit written using Qiskit. This example creates a basic quantum circuit with one qubit and one classical bit, applies a Hadamard gate to the qubit to put it in a superposition, and then measures the qubit to obtain a classical outcome.

This example demonstrates the basic structure of a quantum circuit and how to execute it using Qiskit.

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What are the most commonly used quantum computers?

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This can vary depending on factors such as availability, performance, and research interests. Some of the prominent quantum computing platforms and companies include:

- IBM Quantum: IBM offers access to a fleet of quantum processors through the IBM Quantum Experience platform. These processors are based on superconducting qubits and are available for both research and educational purposes.
- Google Quantum AI: Google has developed its quantum processors based on superconducting qubits, which are used for both research and development of quantum algorithms. They have made significant advancements in areas such as quantum supremacy and error correction.
- Rigetti Computing: Rigetti Computing offers access to their quantum processors through their Quantum Cloud Services platform. Their processors are based on superconducting qubits, and they provide tools and resources for quantum algorithm development.
- IonQ: IonQ is known for its trapped-ion quantum computing platform. Trapped ions offer long coherence times, making them suitable for certain types of quantum computations. IonQ provides access to their quantum processors through Amazon Web Services Braket and Google cloud-based services.
- D-Wave Systems: D-Wave specializes in quantum annealing technology, which is particularly well-suited for optimization and sampling problems. Their quantum annealers are available for commercial use through cloud-based services.

These are just a few examples of companies and platforms involved in quantum computing research and development. The landscape of quantum computing is evolving rapidly, with many companies and research institutions contributing to the advancement of the field.

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- 1.1: How are your Python skills?
- 1.2: IBM Qiskit - Tutorials and courses
- 1.3: Learn about quantum computing, eg what is a Hadamard Gate?

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- # Install Qiskit
- !pip install qiskit
- !pip install qiskit-ibm-runtime

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Please provide a very simple example of the code a Qiskit program (if possible)

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Here's a very simple example of a quantum circuit written using Qiskit. This example creates a basic quantum circuit with one qubit and one classical bit, applies a Hadamard gate to the qubit to put it in a superposition, and then measures the qubit to obtain a classical outcome.

Techinvestment has investments in Google (quantum and ai) and IonQ (trapped ion quantum).

Here are these and other developers:

- π¨π¦ D-Wave Quantum, Inc: [NYSE:QBTS]
- πΊπΈ Google Quantum AI [GOOG/L:NASDAQ]
- πΊπΈ International Business Machines Corporation [NYSE:IBM]
- πΊπΈ IonQ. Inc [NYSE:IONQ]
- πΊπΈ Quantum Corporation [NASDAQ:QMCO]
- πΊπΈ Rigetti Computing, Inc. [NASDAQ:RGTI]

Other companies:

- π«π· Atos Group [ATOS:SE] β Atos produces a Quantum Learning Machine (a quantum simulator).
- π¨π³ Baidu, Inc. [BAIDU:HKD] β Alibaba and Baidu announce intention to exit quantum computing development
- πͺπΊ π¬π§ Toshiba Quantum Technology: β Produces quantum keys for secure communication

π¦πΊ Other researchers: Several universities build research versions of quantum computers. One of these is the University of NSW:

β―οΈ Sweden's Wallenberg Center for Quantum Technology's $100m quantum computer: removing the outer shell to expose the cooling system and quantum computer at the bottom.

Most of what you see in this picture is the cryostat, the mechanism for progressively maintaining a near zero Kelvin environment for the quantum computer at the bottom of the structure. The structure is usually inside a tube to manage temperature and other external environmental factors. When the tube is in place the circular horizontal plates divide the upper structure into cooling zones, to create and maintain near absolute zero temperature at the bottom: the mixing chamber.

The quantum computer chip is in the little brown box in the mixing chamber at the bottom of the structure.

Here is Google's Sycamore 53 qubit computer (the 54th failed) - the chip is inside the silver box surrounded by connectors. The Scientific American describes what's inside the box:

Below the box containing the quantum computer chip is the quantum computing readout system. This is used to read the state of the qubits at the end of a quantum computing calculation.

β―οΈ Google's Quantum Campus

β―οΈ IBM's Quantum Campus

β―οΈ Quantum Computers, Explained With Quantum Physics

β―οΈ Quantum Supremacy: Benchmarking Google's Sycamore processor

"Whereas both IBM and Google are using superconductors to create their qubits, another approach relies on trapped ionsβcharged atoms suspended in a vacuum and manipulated by laser beams." Scientific American

πππππππ: More about the suspended, chandelier structure

The images above typically depict quantum computers based on certain architectures, such as ion traps or superconducting circuits. These designs often involve delicate and precisely engineered components that need to be isolated from external disturbances, including vibrations and electromagnetic interference, to maintain the coherence of quantum states.

The suspended structure you see in these images serves multiple purposes:

- Isolation from vibrations: Hanging the components in a suspended manner helps isolate them from vibrations caused by nearby machinery or even footsteps, which can disrupt the fragile quantum states.
- Cryogenic cooling: Many quantum computing systems operate at extremely low temperatures, close to absolute zero. The suspended structure can allow for efficient cooling mechanisms, such as cryogenic cooling systems, to be implemented around the components.
- Electromagnetic shielding: Quantum computers are highly sensitive to electromagnetic interference. Suspending the components can help shield them from external electromagnetic fields.
- Accessibility for maintenance: Suspending the components can also make them more accessible for maintenance and adjustments without compromising their delicate nature.

In addition to its investments in Google's quantum computing strategy described above, Techinvestment invests in IonQ, whose computers use the trapped ion design strategy.

IBM is partnering with Quantinuum with its H1 and H2 trapped ion computers.

βΉοΈ How does IonQ's trapped ion quantum computer work?

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What makes quantum computing so fast?

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Quantum computing's speed primarily stems from its ability to perform calculations using qubits, which are quantum bits. Unlike classical bits, which can either be in a state of 0 or 1, qubits can exist in a superposition of both states simultaneously. This allows quantum computers to perform many calculations at once, exploiting the parallelism inherent in quantum mechanics.

Additionally, quantum computers can utilize a phenomenon called entanglement, where the state of one qubit is dependent on the state of another, even if they are physically separated. This allows for the manipulation of multiple qubits simultaneously and can lead to exponential speedups for certain types of problems.

Furthermore, **quantum algorithms** such as **Shor's algorithm** for factoring large numbers and **Grover's algorithm** for searching unsorted databases offer significant speed advantages over their classical counterparts for specific tasks.

However, **it's important to note that quantum computing is not universally faster than classical computing for all types of problems**. Quantum computers excel at certain types of calculations, such as factoring large numbers or optimizing complex systems, but they may not necessarily outperform classical computers for tasks like basic arithmetic or word processing.

β―οΈ Elon Musk and Michio Kaku Aug 2023

β―οΈ IBM Quantum Summit - Keynote: Entering the Era of Quantum Utility 4 Dec 2023

β―οΈ IBM System Two Dec 2023

β―οΈ 60 Minutes Report (Jan 2024)

β―οΈ DW Mar 2024

β―οΈ David Jamieson (UniMelb): The Journey to Quantum Computing

How much does a quantum computer cost to buy? 10 Apr 2023: Article

What quantum computer services are available?

- AWS Braket offers IonQ, OQC, QCI, Rigetti: Article.
- Microsoft Azure offers IonQ, Rigetti, Pasqal, Quantinuum.
- Google uses its own Sycamore 53 bit computer.
- β―οΈ Sycamore: Quantum supremacy.
- β―οΈ "The Next Computing Revolution is with AI-Quantum" ft. Michio Kaku

We've looked around at where committed and potential companies are in quantum computing and related AI development projects. We've invested in some, and sought to understand the decision drivrs of those who have looked and invested, and those who have looked and walked away. We share the view that quantum computing are powerful enablers for some companies - but not all - based on demand for what quantum computers are good at, and not intended for, such as general computing.

Company | Invested | Ticker | Quantum | AI | Note | |
---|---|---|---|---|---|---|

Alphabet | β | GOOG/L | β | β | Google Sycamore | |

IBM | - | IBM | β | β | Watson | |

Microsoft Azure | β | MSFT | β | β | ||

Amazon AWS | β | AMZN | β | - | AWS Braket | |

ATOM | - | β | - | - | ||

Atos | - | β | - | ATOS Learning Machine | ||

Intel | - | INTC | β | - | Tunnel Falls Quantum Research Chip | |

IonQ | β | IONQ | β | - | Aria, Forte, Tempo | |

Nvidia | - | NVDA | - | β | - | |

Quantinuum | - | β | - | Quantinuum | ||

Quantum AI | - | - | β | - | ||

Rigetti Computing | - | RGTI | β | - | - | |

Taiwan Semiconductor | - | TSM | β | - | - | |

Xanadu | - | - | β | - | - |

Quantum computer development requires a business case, budget, commitment, capability: not everyone stays the course, for example Alibaba and Baidu. Meta (Facebook) have also decided not to invest in quantum computing.

So we end this with a World Science Festival 2024 discussion (6 Apr 2024) with Brian Greene, Director of the Center for Theoretical Physics at Columbia University, and Eric Schmidt, former CEO of Google, and on the subject of AI (eg LLM) and quantum computing. Google is deeply engaged in both subjects. β―οΈ Here's the interview.