Researchers at the University of Waterloo have developed a method that could pave the way to establishing universal standards for measuring the performance of quantum computers.
The new method, called cycle benchmarking, allows researchers to assess the potential of scalability and to compare one quantum platform against another.
“This finding could go a long way toward establishing standards for performance and strengthen the effort to build a large-scale, practical quantum computer,” said Joel Wallman, an assistant professor at Waterloo’s Faculty of Mathematics and Institute for Quantum Computing. “A consistent method for characterizing and correcting the errors in quantum systems provides standardization for the way a quantum processor is assessed, allowing progress in different architectures to be fairly compared.
Cycle benchmarking provides a solution that helps quantum computing users determine the comparative value of competing hardware platforms and increase the capability of each platform to deliver robust solutions for their applications of interest.
The breakthrough comes as the quantum computing race is rapidly heating up, and the number of cloud quantum computing platforms and offerings is quickly expanding. In the past month alone, there have been significant announcements from Microsoft, IBM and Google.
This method determines the total probability of error under any given quantum computing applications when the application is implemented through randomized compiling. This means that cycle benchmarking provides the first cross-platform means of measuring and comparing the capabilities of quantum processors that is customized to users’ applications of interest.
“Thanks to Google’s recent achievement of quantum supremacy, we are now at the dawn of what I call the `quantum discovery era’, said Joseph Emerson, a faculty member at IQC. “This means that error-prone quantum computers will deliver solutions to interesting computational problems, but the quality of their solutions can no longer be verified by high-performance computers.
“We are excited because cycle benchmarking provides a much-needed solution for improving and validating quantum computing solutions in this new era of quantum discovery.”
Emerson and Wallman founded the IQC spin-off Quantum Benchmark Inc., which has already licensed this technology to several world-leading quantum computing providers, including Google’s Quantum AI effort.
Quantum computers offer a fundamentally more powerful way of computing, thanks to quantum mechanics. Compared to a traditional or digital computer, quantum computers can solve certain types of problems more efficiently. However, qubits—the basic processing unit in a quantum computer—are fragile; any imperfection or source of noise in the system can cause errors that lead to incorrect solutions under a quantum computation.
Gaining control over a small-scale quantum computer with just one or two qubits is the first step in a larger, more ambitious endeavour. A larger quantum computer may be able to perform increasingly complex tasks, like machine learning or simulating complex systems to discover new pharmaceutical drugs. Engineering a larger quantum computer is challenging; the spectrum of error pathways becomes more complicated as qubits are added and the quantum system scales.
Characterizing a quantum system produces a profile of the noise and errors, indicating if the processor is performing the tasks or calculations, it is being asked to do. To understand the performance of any existing quantum computer for a complex problem or to scale up a quantum computer by reducing errors, it’s first necessary to characterize all significant errors affecting the system.
Wallman, Emerson and a group of researchers at the University of Innsbruck identified a method to assess all error rates affecting a quantum computer. They implemented this new technique for the ion trap quantum computer at the University Innsbruck and found that error rates don’t increase as the size of that quantum computer scales up a very promising result.
“Cycle benchmarking is the first method for reliably checking if you are on the right track for scaling up the overall design of your quantum computer,” said Wallman. “These results are significant because they provide a comprehensive way of characterizing errors across all quantum computing platforms.”
The Latest Google Headlines on:
The Latest Bing News on:
- The Big 4 Economic Indicators: July Employmenton August 8, 2020 at 9:23 am
Official recession calls are the responsibility of the NBER Business Cycle Dating Committee, which is understandably vague about the specific indicators on which they base their decisions.
- No common benchmark for reporting portfolio under moratorium creating discrepancies: Ind-Raon August 8, 2020 at 12:57 am
The absence of a common benchmark for lenders for reporting loans under moratorium has led to mismatches between data in financial stability report published by the Reserve Bank of India (RBI) and ...
- Jeff Rumburg Appointed DeepCoding's General Manager for North Americaon August 7, 2020 at 8:25 am
Jeff Rumburg, Managing Partner of MetricNet, LLC, the global leader in IT Service and Support benchmarking, has been appointed the General Manager of North America for DeepCoding, effective ...
- Why eCommerce Listening and Benchmarking is Critical for Brandson August 7, 2020 at 6:46 am
This data highlights the incredible leapfrog eCommerce sales had, several years projected to grow in just several months. Looking into the brand level, quite a few brands report higher than expected ...
- RBI: Easing cycle not over yet – UOBon August 7, 2020 at 3:47 am
Barnabas Gan, Economist at UOB Group, gives his views on the latest RBI meeting. Key Quotes “The Reserve Bank of India (RBI) kept its policy repo rate unchanged at 4.0%, surpris ...
- Bank of England governor says negative rates are 'in the toolbox,' but there are no plans to cut below zeroon August 6, 2020 at 11:16 am
His comments came after the BOE's Monetary Policy Committee voted unanimously to keep benchmark interest rates at an all-time low of 0.1%.
- RBI leaves benchmark lending rate unchanged; maintains accommodative stanceon August 5, 2020 at 11:54 pm
India Business News: The Reserve Bank of India (RBI) on Thursday opted for a status quo and left interest rates unchanged, but maintained an accommodative stance, implying ...
- COVID-19 Impacts: Deep Cycle Batteries Market Will Accelerate at a CAGR of Almost 3% Through 2020-2024 | Growing Use of Golf Carts among Older Population to Boost Growth ...on August 4, 2020 at 11:45 am
Technavio has announced its latest market research report titled Global Deep Cycle Batteries Market 2020-2024 (Graphic: Business Wire) LONDON-- ( BUSINESS WIRE )--Technavio has been monitoring the ...
- South Africa: Minister Blade Nzimande On Opening of National Student Financial Aid Scheme 2021 Application Cycleon August 2, 2020 at 5:00 pm
By benchmarking the latest innovations in March ... links between an applicant and NSFAS during the application cycle and beyond. The Minister added that he would like to share his sincere ...
- Benchmark Electronics Inc (BHE) Q2 2020 Earnings Call Transcripton July 29, 2020 at 6:02 pm
Q2 2020 Earnings Call Jul 29, 2020, 5:00 p.m. ET Good afternoon. Welcome to Benchmark's Second Quarter 2020 Earnings Conference call. [Operator Instructions] I would now like to turn the conference ...
The Latest Google Headlines on:
The Latest Bing News on:
- Scientists could use "quantum data" to accelerate some quantum computerson August 8, 2020 at 9:49 am
Researchers at the Skolkovo Institute of Science and Technology (Skoltech) in Moscow have developed a new method to accelerate the computation of quantum interactions. It’s straightforward enough: ...
- 7 Quantum Computing Stocks to Buy for the Next 10 Yearson August 7, 2020 at 6:00 am
Quantum computing is going to change everything around us, so buy these seven quantum computing stocks now before they explode much higher.
- Physicists count sound particles with quantum microphoneon August 6, 2020 at 2:32 pm
It could lead to smaller, more efficient quantum computers that operate by manipulating sound rather than light. "We expect this discovery to allow new types of quantum sensors, transducers and ...
- Eight trends accelerating the age of commercial-ready quantum computingon August 6, 2020 at 9:01 am
Quantum computing will represent the most fundamental acceleration in computing power that we have ever encountered, leaving Moore's law in the dust.
- Fully Automated Luxury Drug Discoveryon August 3, 2020 at 8:08 am
Drug discovery still poses difficulties, but some of the toil is shifting to artificial intelligence and robotic systems. Also, some tasks can be eased by using clever mass spectrometry and ...
- Microsoft’s plan to scrub carbon out of the atmosphere? Quantum computerson July 31, 2020 at 1:09 pm
Investigators from Microsoft and ETH Zurich have developed a quantum algorithm that could help cut down on CO2 by turning it into useful compounds.
- IBM and the University of Tokyo Unveil the Quantum Innovation Initiative Consortium to Accelerate Japan's Quantum Research and Development Leadershipon July 29, 2020 at 9:17 pm
IBM (NYSE: IBM) and the University of Tokyo unveiled a landmark collaboration with the launch of the Quantum Innovation Initiative Consortium (QIIC). Expanding from the Japan–IBM Quantum Partnership ...
- 'Giant atoms' enable quantum processing and communication in oneon July 29, 2020 at 8:02 am
MIT researchers have introduced a quantum computing architecture that can perform low-error quantum computations while also rapidly sharing quantum information between processors. The work represents ...
- 'Quantum negativity' can power ultra-precise measurementson July 29, 2020 at 2:21 am
Scientists have found that a physical property called 'quantum negativity' can be used to take more precise measurements of everything from molecular distances to gravitational waves.
- The quantum Hall effect continues to reveal its secrets to mathematicians and physicistson July 29, 2020 at 2:16 am
A transformative experiment is yielding fresh insights 40 years after the effect’s discovery — and energizing transdisciplinary collaborations.