Quantum Computers Begin to Measure Up | Research & Technology | Dec 2023 – Photonics.com

Posted: December 28, 2023 at 11:52 pm

WAKO, Japan, Dec. 27, 2023 Much of the progress so far in quantum computing has been done on so-called gate-based quantum computers. These devices use physical components, most notably superconducting circuits, to host and control the qubits. The approach bears similarity to conventional, device-based classical computers. The two computing architectures are thus relatively compatible and could be used together in hybrid. Furthermore, future quantum computers could be fabricated by harnessing existing technologies used to fabricate conventional computers.

But the Optical Quantum Computing Research Team at the RIKEN Center for Quantum Computing has been taking a very different approach. Instead of optimizing gate-based quantum computers, Atsushi Sakaguchi, Jun-ichi Yoshikawa and team leader Akira Furusawa have been developing measurement-based quantum computing.

Measurement-based quantum computers process information in a complex quantum state known as a cluster state, which consists of three (or more) qubits linked together by a non-classical phenomenon called entanglement.

Measurement-based quantum computers work by making a measurement on the first qubit in the cluster state. The outcome of this measurement determines what measurement to perform on the second entangled qubit, a process called feedforward. This then determines how to measure the third. In this way, any quantum gate or circuit can be implemented through the appropriate choice of the series of measurements.

Importantly, measurement-based quantum computation offers programmability in optical systems. We can change the operation by just changing the measurement, said Sakaguchi. This is much easier than changing the hardware, as gated-based systems require in optical systems.

But feedforward is essential. Feedforward is a control methodology in which we feed the measurement results to a different part of the system as a form of control, Sakaguchi said. In measurement-based quantum computation, feedforward is used to compensate for the inherent randomness in quantum measurements. Without feedforward operations, measurement-based quantum computation becomes probabilistic, while practical quantum computing will need to be deterministic.

The Optical Quantum Computing Research Team and their co-workers from The University of Tokyo, Palack University in the Czech Republic, the Australian National University and the University of New South Wales, Australia have now demonstrated a more advanced form of feedforward: nonlinear feedforward. Nonlinear feedforward is required to implement the full range of potential gates in optics-based quantum computers.

Optical quantum computers use qubits made of wave packets of light. At other institutions, some of the current RIKEN team had previously constructed the large optical cluster states needed for measurement-based quantum computation. Linear feedforward has also been achieved to construct simple gate operations, but more advanced gates need nonlinear feedforward.

A theory for practical implementation of nonlinear quadrature measurement was proposed in 2016.3 But this approach presented two major practical difficulties: generating a special ancillary state (which the team achieved in 20214) and performing a nonlinear feedforward operation.

The key advantages of this nonlinear feedforward technique are its speed and flexibility. The process needs to be fast enough that the output can be synchronized with the optical quantum state.

Now that we have shown that we can perform nonlinear feedforward, we want to apply it to actual measurement-based quantum computation and quantum error correction using our previously developed system, Sakaguchi said. And we hope to be able to increase the higher speed of our nonlinear feedforward for high-speed optical quantum computation.

But the key message is that, although superconducting circuit-based approaches may be more popular, optical systems are a promising candidate for quantum-computer hardware, he added.

The research was published in Nature Communications (www.doi.org/10.1038/s41467-023-39195-w).

Originally posted here:

Quantum Computers Begin to Measure Up | Research & Technology | Dec 2023 - Photonics.com

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