/QC Ware Shows off Quantum Computing as a Service Offering (via Qpute.com)
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QC Ware Shows off Quantum Computing as a Service Offering (via Qpute.com)

A Palo Alto, California startup named QC
Ware has started offering quantum-computing-as-a-service to their clients. The
announcement comes on the heels of Google’s researchers stating last week that
they had achieved quantum supremacy. The company’s public beta named Forge
opened to their clients this week, allowing them to join the ranks of IBM,
D-Wave, and Rigetti, as another name in the competitive quantum cloud services

A Shift in Paradigm

QC Ware intends to use its service to help
businesses accelerate solutions to enterprise-level problems. Quantum computing
utilizes a system that is different from standard computing, allowing a quantum
bit (abbreviated to “qubit”) to take the values of 0,1 or both. The
ability to hold multiple different configurations of states within their qubits
allows quantum processors to condense processing across numerous possibilities,
only presenting the ‘right’ answer when it finds the solution.

QC Ware’s customers can take advantage of
the quantum computing algorithms the company has developed over the years,
adapting them to the individual business’ needs. Additionally, QC ware offers
customers the option of running their calculations on high-performance
computers capable of simulating quantum processing, or on actual quantum
computers owned by IBM, Rigetti, or D-Wave.

Quite a Long Road Ahead

While Google’s quantum supremacy
announcement offers hope for the idea of quantum computing, it may be a while
before we see commercial applications of the technology. Currently, most
quantum computing is done through simulated means, since very few companies
have access to a quantum processor. An additional complication to quantum
computing dominance is the different architectures companies that currently
utilize the technology use. Since there is no standard, getting solutions can
vary between one processing stack and another. Real quantum computing is going
to happen within the next decade, most likely, but no one can pinpoint how soon
to expect it.

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