Why the recent surge in jaw-dropping announcements by neutral atom players? Why are neutral atoms seeming to leapfrog other qubit modalities? Read the latest Quantum Leap blog post to find out.
If we can now readily obtain the “official” time by syncing our cell phone with GPS satellites or our computer with an atomic clock with accuracy to within one second per 60 million years, why do we need to measure time more accurately than that? Keep reading and I hope you’ll understand.
As noted in this post, there has been significant advancements in Quantum Computing hardware over the past year or so and I expect this momentum will continue in 2023. Presently there are QCs with 10s to 100s of qubits, and the coherence, connect-ability and control on these early machines continues to improve. There are various tradeoffs among the QC modalities, summarized in this post.
There are several significant challenges facing QC makers today, and “noise” is one of the most difficult to overcome.
The Quantum industry is facing a challenging investment climate which will lead to some near-term pain. Read why here.
This latest post approaches Quantum Computing from a philosophical perspective. It’s an aspect of this field that originally gripped my attention and which underlies much of why quantum mechanics conjures such non-intuitive conclusions.
Given my overall assessment of ColdQuanta including its strong IP, broad and complementary offering, and prestigious existing customers (and revenues), I am assigning the highest rating to ColdQuanta at this time, with an Alpha of 0.95 which equates to an “Exceptional performance expected.”
Ultimately, Quantum Computers will only be as valuable and impactful as the programs written for them, so seeing creativity and outside-the-box approaches to challenges with these early, noisy, faulty machines will be quite revealing. The Classiq Coding Competition should bring out this programming creativity.
While Quantum Computing is in the early innings, there are promising developments in Quantum Machine Learning (QML). As the amount of stored data and images continues to explode, along with the increasing adoption of voice recognition tools (i.e., Alexa, Siri, etc.) utilization of QML will be vital to enabling efficient use of these evolving tools. I expect we’ll see many more collaborations and tools in the QML space in the next few years.
Quantum advantage is closer than you think