The much-hyped search for additional quantum qubits and quantum supremacy may be overshadowed by a more attainable goal: making effective use of the qubits we already have, according to a growing school of thought. With reference to D-Wave Systems Inc., the Vancouver, British Columbia,
Canada-based quantum computing inventor who recently disclosed its plans for the functioning of a logical gate-model quantum computing system, the second viewpoint is particularly important to consider.
But there’s a major snag here. It has been argued that the processing speed-up provided by D-annealing Wave’s qubits is less than that provided by other competing quantum gate-model devices.
D-qubit Wave’s counts have been criticised by detractors for highlighting a specific type of optimization difficulty, despite being employed at laboratories like Google, NASA, and the Los Alamos National Laboratory, among others.
Let’s get down to the nitty gritty
Since 2011, when it began producing and programming superconducting elements, the company has enjoyed a major competitive advantage over its rivals. In reality, claims about scaling and quantum error (or “noisy intermediate-scale quantum”) correction in the gate-model quantum computing group have come under fire, prompting the term “noisy intermediate-scale quantum” (or simply “NISQ”) to be used to characterise the current era in which consumers must start using what functional qubits they have.
Quantum computing and cake
As D-Wave expands its product portfolio, it hopes to increase sales and availability of its systems. This announcement was followed by confirmation that NEC Corporation will be the first global reseller of D-Leap Wave’s quantum cloud service. Additionally, D-Wave unveiled a Quantum QuickStart kit, emulating competitors’ efforts to make cloud-based quantum programming available to regular Python coders.
According to him, “the organisation has good skills in producing cryogenically cooled technology useful for quantum computing applications.” It’s not an easy shift to a gate-model architecture, but the benefits are numerous.
For Sorensen, it is important to keep an eye on the evolution of quantum computing that sees it integrated into ordinary computer systems. He said that it’s not incorrect to describe this as a fusion of technology. A project might be broken down into parts, with each part being completed on a different system before coming together – iterating between the classical and quantum systems to take advantage of both systems’ strengths, said Sorensen.
Handling workloads is more important than establishing quantum superiority over traditional computing by reaching the 1,000-qubit gate-model level. This is all about showing your ability to properly handle the needs of your customers, Sorensen explained.