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.
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.
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.
On March 22, 2022, Sandbox AQ announced its formal launch as a separate company from Alphabet (fka Google). I consider this to be seminal event in the Quantum Computing (QC) industry so wanted to provide additional color to emphasize the magnitude of the announcement.
Quantum Computers will transform the way we use computers by massively accelerating certain computations and, more importantly, by enabling a wholly new form of computing.
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.
he power and potential of Quantum Computing, you may be wondering how to invest in this emerging opportunity.
Quantum advantage is closer than you think
People are using actual working Quantum Computers every day. Each of Amazon and Microsoft offer cloud access to several QC hardware systems, while players like Google, IBM, IonQ, Rigetti, Honeywell and others offer direct access to their systems via direct web-based interfaces.
I’ve curated this list to provide a broad set of definitions that should help frame the Quantum Computing (QC) potential, and for ease of reference as you come across terms where a definitional reminder would be helpful.