Atom Computing Tech Perspectives: 2022 Quantum Computing Tech Predictions – HPCwire

Atom Computing Tech Perspectives: 2022 Quantum Computing Tech Predictions – HPCwire

Jan. 11, 2022 — Atom Computing CEO Rob Hays has released a list of his top six quantum computing technology predictions for 2022.

The following is from his blog post on the subject:

Quantum computing gained a lot of attention and headlines in 2021 with companies, like ours, making big bets on this paradigm-shifting technology. While quantum computing may not be a household term just yet, we are going to see big advancements in 2022 on technology development and breadth of involvement. As I’m out talking to customers and partners, I see quantum computing continuing to grow mindshare every day.

Here are my top six quantum computing predictions for 2022:

1. Newer quantum computing modalities will achieve eye-opening breakthroughs

Early adopters are building teams and investing in proof-of-concept use-cases, learning how to take advantage of quantum computing to gain a competitive edge in the market. These customers are eager to try different quantum computing platforms to see what works best for their applications. Over the past couple of years, increased R&D in newer quantum computing modalities has delivered competitive systems that show the potential to scale at a faster pace than the earlier modalities.

In 2022, we are going to see an acceleration of technical demonstrations and product readiness in neutral atom technology – building further interest and credibility in the approach. By the end of the year, I predict that neutral atom-based quantum computing will be on equal footing in terms of customer awareness compared to the earlier technologies – superconductors and trapped ions. We may also see demonstrations of photonics and other new technologies not yet on most peoples’ radar screens.

2. Increased attention in NISQ use-cases at various scales

Hardware providers are pushing to scale the number of qubits per system while potential users work with partners to experiment on these initial, smaller systems. Today’s quantum computers only have dozens or, in some cases, a hundred or so qubits – which isn’t a sufficient scale to compute meaningful commercial problems. Today’s systems are prone to error and do not have enough physical qubits to perform error-correction algorithms to overcome the errors. Thus, we have NISQ machines in search of use-cases.

I predict we will see novel ways of using NISQ machines for a modest set of interesting use-cases in financial services, aerospace, logistics, and perhaps pharma or chemistry. This year, I believe that applications developers will figure out how to gain more commercial value out of NISQ systems with thousands of qubits, but the hardware won’t quite get there in 2022. Additionally, I expect to see demonstrations of mid-circuit measurement and error correction on a number of modalities this year pointing toward the end of the NISQ era and a more productive quantum computing era on the horizon.

3. Leading US and Chinese Cloud Service Providers will double down on quantum computing

Cloud Service Providers (CSPs) should benefit greatly from quantum computing given their breadth of pervasive services, the deep integration of artificial intelligence (AI) into their workloads, and the opportunity to vastly improve AI prediction models based on the highly-parallel, statistical nature of quantum computing. They also control their own infrastructure, applications, and customer interfaces, and have deep technical …….