D-Wave’s vision: the future of quantum computing and its applications

D-Wave’s vision: the future of quantum computing and its applications

D-Wave’s vision about the future of quantum computing and its applications

Quantum computing has the potential to fundamen­tally change society and how we interact with techno­logy. Quantum is poised to disrupt a number of major industries, including transportation, mobility, materials science, medicine, and more, enabling powerful new applications that aren’t possible with classical super­computers.

While it’s still early in the lifespan of quantum com­puting, promising applications with practical business value are emerging. Cloud access and hybrid quantum/ classical computing approaches have made it much easier for virtually any organization or developer to get started building quantum applications.

To date, D-Wave users and customers have built over 200 quantum applications in diverse fields. Major com­panies, including Menten AI, Volkswagen, the German Aerospace Center, and the Italian State Railway, have used D-Wave quantum computers to optimize various parts of their R&D, resource allocation, and supply chain. As quantum computers increase qubit counts and processing power – such as D-Wave’s upcoming 5000 qubit Advantage system – applications will be­come more robust and lead to breakthroughs in criti­cal fields, including drug discovery, transportation, and machine learning, among others.


D-Wave’s Quantum Annealing Computers

D-Wave quantum computers use a process called quantum annealing to find solutions to problems ex­pressed in terms of optimizing a certain function. A problem is represented by a graph with real-valued weights on nodes and edges. The graph is mapped onto an arrangement of qubits (nodes) and couplers (edges) inside the quantum processing unit (QPU). During the computation (called an anneal), gradually-evolving forces are applied to the qubit system, to drive it into an energy state that corresponds to an optimal solution to the original problem. Typical anneal times range from 2 to 200 microseconds per input.

A current-generation D-Wave 2000QTM system con­tains 2000+ qubits with up to six couplers per qubit (fewer on circuit boundaries). This allows the QPU to solve problem graphs with between roughly 64 nodes (dense) and 2000 nodes (sparse), depending on qubit yields.

The QPU operates within a highly shielded environment --- at temperatures below 15 millikelven, and experien­cing less than 50,000x of Earth’s magnetic field --- to protect the computation from external noise and im­prove the probability of a successful outcome. Typical anneal times range from 2 to 200 microseconds per input.

The next-generation AdvantageTM system, to be laun­ched later this year, will contain 5000+ qubits and ap­proximately 15 couplers per qubit, corresponding to problem graphs with between roughly 182 and 5000 nodes.


Torna all'articolo