I, Brian Wang, interviewed Andrei Petranko, Product Manager at Quantum Circuits and Neil Wu Becker, CEO and Co-Founder of Nextbound – Advisor to Quantum Circuits.

This is the second interview and article on quantum circuits by Brian Wang of Nextbigfuture. The previous article is linked here.

The equivalent of integrated checkbits

In conventional computer memory, there are check bits to detect errors. Control bits in computer memory refer to additional bits used in error detection and correction systems, particularly in the context of error correcting codes.

Their superconducting system uses spherical chambers with reflective mirrors inside to contain a photon. They use RF frequencies to control the movement and actions of the photon. The different RF frequencies determine whether the photon can pass between the chambers. Currently, the chambers each have a diameter of 5 millimeters. They will reduce them to microscopic size in future generations.

DRQs (Dual Rail Qubits) are superconducting double cavities. They encode a qubit in the single-photon subspace of two superconducting microwave cavities. One cavity represents logic state “0” when it contains a photon, and the other represents logic state “1” when it contains the photon. If no photon is detected in either cavity, an erase error is detected, indicating that the photon was lost.

Quantum non-demolition (QND) measurements are used to verify the state of cavities without disturbing the quantum state. This allows errors to be detected without collapsing quantum information. The system uses an ancilla (like a transmon qubit) to make these measurements, ensuring that it can detect the presence or absence of the photon in either cavity.

Quantum Circuits integrates Real-time control features with error detection. Once an error is detected, the system can use this information to implement control flow decisions, such as repeating sections of a quantum circuit or choosing different paths in the execution of an algorithm based on the error state.

The goal of commercially ready quantum computers

Quantum Circuits aims to create correct components first, then evolve the systems. This is part of the broader goal of making quantum computers ready for commercialization.

What do we mean by commercially ready quantum computers?

This means you can bet your company or business on the results of a quantum computer. Just like today we rely on servers and computers to provide services through cloud computing systems. Being able to trust and rely on quantum computers means repeatable, predictable and reliable systems.

They built an 8-qubit system and corporate clients are using them.

Customers have said that using error mitigation and detection can allow them to derive significantly more utility from quantum circuits than competing quantum computers.

Error removal and mitigation are common techniques that require intensive efforts by most quantum computing companies and the entire quantum computing community.

Quantum Circuits’ error-detecting dual-rail qubit innovation enables errors to be detected and corrected first to avoid disrupting large-scale performance. This system will make it possible to obtain approximately 10 to 20 physical quantum qubits instead of 200 physical qubits for each error-correcting logical qubit.

The superconducting system used by Quantum Circuits can operate at 4 megahertz while many other approaches operate at 1 kilohertz. This means that if there were no errors or delays, a superconducting quality control system could perform 4 million operations in one second, while a system of 1 would take over an hour. kilohertz for this number of operations. Theoretically, 4 megahertz could achieve in 8 hours what could take a slower system a year. This means that current experiments and explorations happen more quickly. In the future, this could mean that useful quantum solutions could be produced more quickly.

The chief scientist is a legend in the field

Robert Schoelkopf is Quantum’s chief scientist. Robert Schoelkopf is a pioneering physicist who has made important contributions to the field of quantum computing, notably in the development of superconducting qubits. His achievements propelled research into quantum computing and laid the foundation for practical quantum computers.

With his colleagues Michel Devoret and Steven Girvin of Yale, Schoelkopf created the field of quantum electrodynamics of circuits. Schoelkopf’s team developed a quantum information bus, enabling the transfer of quantum states between distant qubits.

He developed several quantum algorithms and contributed to the field of quantum error correction.

The Quantum Circuits Acumen Seeker is an innovative quantum processing unit with the following specifications:

Number of qubits: It currently has 8 qubits.

Qubit architecture: uses dual-rail cavity qubits with integrated error detection, which includes quantum error detection (QED), error detection handling (EDH), and real-time control flow ( RTCF).

Error correction: The system is designed to improve scalability and performance by integrating error detection directly into the qubit architecture, paving the way for fault-tolerant quantum computing without the need for scaling techniques. scaled by brute force.

Integration: It completes a complete quantum computing system that includes cloud services, software development kit (SDK), and simulators.

Performance: The dual-rail qubit approach focuses on high fidelity and efficiency per qubit, with the goal of achieving better results with fewer qubits compared to traditional scaling methods.

Application: This hardware is used by enterprise customers to develop and test quantum algorithms, highlighting its use in exploring quantum use cases across various industries.

Brian Wang is a futurist thought leader and popular science blogger with 1 million monthly readers. His blog Nextbigfuture.com is ranked #1 science news blog. It covers many disruptive technologies and trends, including space, robotics, artificial intelligence, medicine, anti-aging biotechnology and nanotechnology.

Known for identifying cutting-edge technologies, he is currently a startup co-founder and fundraiser for high-potential early-stage companies. He is head of research for allocations for deep technology investments and an angel investor at Space Angels.

A frequent corporate speaker, he has been a TEDx speaker, a speaker at Singularity University, and a guest on numerous radio and podcast interviews. He is open to public speaking and consulting assignments.