Investors around the globe are looking for the next investment opportunity, and with the success of companies like Tesla who radically innovated in the automotive sense, is it any wonder that Venture Capitalists and Investors are looking for the next major company to invest in. Here we look at one potential candidate for the Quantum equivalent of the ultra successful Tesla.
You could ask if there are any quantum computing companies out there that are innovative like Tesla: a “Quantum Tesla,” if you will. You would find that there is one company, in particular, that is comparable to Tesla in multiple ways.
Turing is a quantum computing startup founded by Prof. Seth Lloyd and Dr. Michele Reilly. Everything they do at Turing Inc. is done using rigorous first principles analysis and all-in engineering overhead costs, much like SpaceX does.
Turing is analogous to Tesla since it speaks to the shortest path to market with a superior product – and innovating only where it is essential to do so. Existing quantum computers already have remarkable capabilities. It’s simply necessary to fully utilize those capabilities. This is Turing’s focus, and it requires a fundamental rethinking and recombining of disparate fields and industries, as they have done.
In so far as Turing is the “Quantum Tesla,” in a more literal sense, it probably lies in their ability to make a difference in self-driving cars. They are getting a lot of interest from self-driving automobile companies, those who have learned about their work, and wish to be front-running and competitive in their market. Even if they are marginally ahead of their competition, the result of that, they convey to Turing, will lead to a massive surge in consumer product sales and verticals for them. Not to mention the extra safety for autonomous driving they can demonstrate, supporting the regulatory efforts necessary for the switch-over to all autonomous vehicle roads and the vision of furthering the global production of more energy efficient cars as a mainstay.
Turing understands what it takes for quantum machines to switch-on and run programs, over each of the existing quantum architectures, IBM, Google, Ion-Q, Honeywell, Xanadu, and more. Quantum computing is not exactly like the silicon industry. Today major corporations in this space haven’t developed in a manner that can go from 10 qubits to 100 qubits to then 1 million qubits, by a recipe that stores entanglement, while making more of it, as Dr. Reilly has suggested is possible with her work. If Turing had to do that, they could. For now, they actively support the development of other companies who are reaching the limit of what they can do with today’s smaller-scale quantum devices.
Tesla found a way to deliver a ground-breaking product based on existing technology – innovating selectively where necessary. And then, as battery and control tech improved, they built on that. Turing is building on continually improving information processing quantum technologies, both hardware and software. They see a path to leveraging those improvements – in particular, more qubits and greater stability will enable exponential increases in the scale of problems that can be addressed, steadily improving the price-performance of quantum computing.
Turing also takes inspiration from companies like Deep Mind and SpaceX that bring together a community of thinkers and doers to solve some of humanity’s hardest and important problems via novel technologies.
Prof. Seth Lloyd is a co-founder of Turing and professor of Mechanical Engineering at MIT. He designed the first technologically feasible quantum computer and created the first quantum algorithms for a variety of applications, including quantum simulation, finding ground states of molecules, and solving linear systems of equations. He is a co-inventor of quantum random access memory, and a pioneer in quantum machine learning.
Dr. Michele Reilly is a co-founder of Turing and an inventor and pioneer in quantum random access memory and distributed systems of entanglement in particular. She significantly extended some of Prof. Lloyd’s qRAM proposals from 2008. She owns the patents in the United States and Europe on a truly distributed network of movable qRAM.
Turing is an AI software company that combines techniques of traditional and quantum machine learning to develop novel, practical and societally useful applications for quantum computers.
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