Quantum Computing Inc (OTCQB:QUBT) revealed Tuesday that a new scientific paper showed QCI qbsolv, a component of its Mukai software execution platform for quantum computers, achieved best-in-class performance.
The technical study used the Massachusetts Institute of Technology’s (MIT’s) MQlib, a well-established combinatorial optimization benchmark, to compare QCI qbsolv performance with those of a variety of solvers.
The researchers found that QCI qbsolv delivered better quality of results for most problems (27 of 45) and often ran more than four times faster than the best MQlib solver (21 of 45 problems).
“The results show that Mukai provides better results than currently used software to solve complex optimization problems faced by nearly every major company and government agency worldwide,” said the company in a statement.
While future quantum computers are expected to deliver even greater performance benefits, Mukai said it delivers “today the best-known quality of results, time-to-solution, and diversity of solutions in a commercially available service.” As a result, companies can leverage the robust and diverse solutions offered by Mukai to minimize disruptive high-impact events in real-time.
“Optimization of business processes generated by solvers like Mukai can result in savings of hundreds of billions of dollars annually,” said the company.
Diversity of results
In terms of diversity of results — finding, for example, logistics routes that are quite different from each other — QCI qbsolv often found dozens of binary results that were different in more than 350 different positions or route segments. Known also to researchers as Hamming distance, “diversity of results is another important advantage expected of quantum computing,” noted the company.
The paper titled, “QCI Qbsolv Delivers Strong Classical Performance for Quantum-Ready Formulation,” describes the full results and discusses their impact.
“These results demonstrate that Mukai-powered applications can exploit quantum computing concepts to solve real-world problems effectively using classical computers,” said Quantum Computing CTO Mike Booth.
Booth added that “the quality, speed, and diversity of solutions” offered by Mukai means government and corporate organizations can use Mukai to adopt quantum-ready approaches today without sacrificing performance.
“Mukai is also hardware-agnostic, enabling adopters to exploit whichever hardware delivers the quantum advantage. We’re confident that leading companies can leverage Mukai today to achieve a competitive advantage,” he added.
Booth said the company was planning to introduce further performance improvements to Mukai over the coming months.
“Some of these advancements will benefit application performance using classical computers as well as hybrid quantum-classical scenarios, but all will be essential to delivering the quantum advantage. We expect Mukai to play an integral role in the quantum computing landscape by enabling organizations to tap into quantum-inspired insights today to better answer their high-value problems,” added Booth.
In April, the company announced it was releasing version 1.1 of its Mukai middleware with new high-performance capabilities for experts developing quantum-ready applications.
Meanwhile, the Mukai software stack released in January 2020 and can be used to solve extremely complex optimization problems. It enables developers to create and execute quantum-ready applications on classical computers, while being ready to run on quantum computers when those systems can achieve performance advantages.
The company said the Mukai software platform can enables users and application developers to solve complex constrained-optimization problems that are at the heart of some of the most difficult computing challenges in industry. “This includes, for example, scheduling technicians, parts and tools for aircraft engine repair, or designing proteins for coronavirus vaccines and therapies,” said the company.
Contact the author Uttara Choudhury at [email protected]
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