DWave to venture into Gate-based systems in Quantum Computing but will it raises problems with QUBO?
DWave is now planning to venture into quantum computing towards gate-based computers to perform logical operations on single qubits. The problem, however, is that not many people might be interested in QUBO.
The complexity of Gate-Based Systems According to ArsTechnica, despite the complexity of gate-based systems, there may be a way to derive them from several qubits that include ions, photons, and electronic devices called transmons.
There is another form of computation known as annealing, which involves manipulating collections of other interconnected qubits. Annealing remains a theory that fits a class of optimization problems well, and when it comes to hardware, there is only one company called DWave behind them.
Google’s DWave 2x quantum computer
Things started to get more muddled when DWave released a roadmap for its quantum annealing machines for the future processor and software company. DWave is also announcing that it will develop its hardware based on you, which would be parallel to quantum annealing.
DWave’s current processor, known as Advantage, already has 5,000 qubits and 40,000 connections between them. It was noted that users of DWave’s cloud service would have access to an updated version of its Advantage. The qubit and the connection stats will remain the same, but the device will be less affected by the noise found in the system.
https://twitter.com/websterNwebster/status/1445597948067205126
In 2015, it was shared that Google’s DWave 2x quantum computer was running 100 million times faster than a regular computer chip that doesn’t run Dwave hardware. In more technical terms, its qubits will keep their consistency much longer.
This update will allow users to solve more significant issues with greater precision and a higher probability of accuracy due to the new manufacturing process. DWave also provides a set of development tools that it calls Ocean.
Will it raises a problem with QUBO?
In previous iterations, Ocean allowed several people to step back from direct control of the hardware. If a problem can be expressed as a quadratic b air unconstrained optimization or QUBO, Ocean could quickly produce the commands needed to run the issue on the optimizer.
DWave notes that this is a hybrid problem solver, as Ocean could also use classical computation to optimize the QUBO before running. The problem, at the moment, is that anyone who wants to try out DWave hardware may not be familiar with QUBO or how to express their issues as QUBO. Another issue could be the price, as DWave’s 2,000 Qubit quantum computers sold for $15 million.
The new version of Ocean would allow another level of abstraction by sending problems directly to the system in the format typically used by some people who tend to solve these particular types of issues.
However, if it works, it could remove a considerable hurdle that could prevent people from checking if DWave’s hardware offers acceleration to their problems.
Image courtesy of Kurzgesagt – In a Nutshell/YouTube