Researchers at Lawrence Berkeley National Laboratory's Advanced Quantum
Testbed (AQT) demonstrated that an experimental method known as randomized
compiling (RC) can dramatically reduce error rates in quantum algorithms and
lead to more accurate and stable quantum computations. No longer just a
theoretical concept for quantum computing, the multidisciplinary team's
breakthrough experimental results are published in Physical Review X.
The experiments at AQT were performed on a four-qubit superconducting
quantum processor. The researchers demonstrated that RC can suppress one of
the most severe types of errors in quantum computers: coherent errors.
Akel Hashim, AQT researcher, involved in the experimental breakthrough and a
graduate student at the University of California, Berkeley explained: "We
can perform quantum computations in this era of noisy intermediate-scale
quantum (NISQ) computing, but these are very noisy, prone to errors from
many different sources, and don't last very long due to the decoherence—that
is, information loss—of our qubits."
Coherent errors have no classical computing analog. These types of errors
are systematic and result from imperfect control of the qubits on a quantum
processor, and can interfere constructively or destructively during a
quantum algorithm. As a result, it is extremely difficult to predict their
final impact on the performance of an algorithm.
Although, in theory, coherent errors can be corrected or avoided through
perfect analog control, they tend to worsen as more qubits are added to a
quantum processor due to "crosstalk" among signals meant to control
neighboring qubits.
First conceptualized in 2016, the RC protocol does not try to fix or correct
coherent errors. Instead, RC mitigates the problem by randomizing the
direction in which coherent errors impact qubits, such that they behave as
if they are a form of stochastic noise. RC achieves this goal by creating,
measuring, and combining the results of many logically-equivalent quantum
circuits, thus averaging out the impact that coherent errors can have on any
single quantum circuit.
"We know that, on average, stochastic noise will occur consistently at the
same average error rate, so we can reliably predict what the results will be
from the average error rates. Stochastic noise will never impact our system
worse than the average error rate—something that is not true for coherent
errors, whose impact on algorithm performance can be orders of magnitude
worse than their average error rates would suggest."
Hashim used the analogy of the signal-to-noise ratio in astronomy to compare
the impact of coherent errors versus stochastic noise in quantum computing.
The longer a telescope operates, the more the signal will grow with respect
to the noise, because the signal will coherently build upon itself, whereas
the noise—being incoherent and uncorrelated—will grow much more slowly.
Coherent errors in quantum algorithms can build upon themselves through
constructive interference and often grow faster than stochastic noise.
However, the experimental demonstration of RC showed that coherent errors in
quantum algorithms can be controlled to grow at a much slower rate.
The AQT team collaborated closely with the original creators of the
protocol, Joseph Emerson and Joel Wallman, who co-founded the company
Quantum Benchmark, Inc. (recently acquired by Keysight Technologies) to
tackle the problem of benchmarking and mitigating errors in quantum
computing systems.
"Not having to design the software ourselves to perform the RC protocol
ultimately saved us a lot of time and resources and freed us to focus on the
experimental work," Hashim said.
By bringing in researchers and partners from across the quantum information
science community in the United States and the world, AQT enables the
exploration and development of quantum computing based on one of the leading
technologies, superconducting circuits.
"RC is a universal protocol for gate-based quantum computing, which is
agnostic to specific error models and hardware platforms," Hashim described.
"There are many applications and classes of algorithms out there that may
benefit from the RC. Our collaborative research demonstrated that RC works
to improve algorithms in the NISQ era, and we expect it will continue to be
a useful protocol beyond NISQ. It is important to have this successful
demonstration in our toolbox at AQT. We can now deploy it on other testbed
user projects."
Reference:
Akel Hashim et al, Randomized Compiling for Scalable Quantum Computing on a
Noisy Superconducting Quantum Processor, Physical Review X (2021).
DOI: 10.1103/PhysRevX.11.041039
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