(Quantum) Winter is coming…or is it?

So, is quantum winter coming? Not in this writer’s opinion. There is still a long way to go before we have QCs that can add value to computational problems and even further before consistent quantum advantage. The hill is steep and the climb is arduous, but I am confident the view will be worth the climb.

Classiq – Company Evaluation

Classiq has a solid team, strong balance sheet, and highly regarded product.  It has entered into a meaningful number of collaborations and partnerships with a wide variety of players.  And its business model provides value-add to customers in an agnostic way vis-a-vis quantum hardware and software.  While there may some increasing competition, they appear to have a solid first-mover advantage.  If Classiq can continue its current momentum and become the go-to provider for customers seeking to optimize their quantum algorithms, their customer base should expand quite rapidly and consistently. 

Collaboration is Dominating Quantum Computing

Nearly every day we see headlines about players in the Quantum Computing industry announcing new collaborations and partnerships.  On a technical level this seems logical given the unique requirements of the various components such as the physical qubits, cryogenics, lasers, microwaves, controllers, compilers, error correction, various software layers, etc.  Collaborations would seem inevitable as the industry attempts to power forward as rapidly as possible. 

Quantum Computing Jobs

When I get invited to college graduation parties, I will be whispering “Quantum Computing” into the ears of the recent graduates.  It’s also great advice to those seeking a change in their current career and while technical aptitude and experience create the best fit for most of the current QC industry positions, there is a growing number of non-technical jobs in QC as well.  There are many great resources available to you as you consider a QC career and I hope you take advantage of them and consider joining this exciting and evolving field.

Learning More About Quantum Computing

There is a plethora of resources available on the Internet including articles, podcasts, blogs, interactive learning resources, classes, lectures, seminars, academic papers, etc., which I catalogue in this post. I encourage you to try a few and if they don’t resonate or feel helpful, skip to the next one.  I hope these items accelerate your understanding and spur further learning

The Case for an Annual “Quantum Games” Competition

Given that some benchmarks favor optimization strategies, some favor simulation, some focus on contrived theoretical tasks and others try to reflect real-world applications, some are great at 2-qubit gates but not at larger entanglements, etc., it unfortunately does not look like a universally accepted standard is going to be agreed upon in the near-future.  So instead, what if there were an annual contest like a global QC decathlon?

At the Intersection of Quantum Computing, Artificial Intelligence and Machine Learning

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.