Introducing Quantum Serverless, a new programming model for leveraging quantum and classical resources. By Blake Johnson, Ismael Faro, Michael Behrendt, Jay Gambetta @ibm.com.
Integrating quantum into real-world workflows will take advancements across the stack. We need to think holistically about quantum performance, including the scale, quality, and speed of our processors.
We need to enter the realm of quantum advantage, where quantum computers are either cheaper, faster, or more accurate than classical computers at the same relevant task.
A recent example1 we demonstrated is entanglement forging which exploits symmetry in chemistry problems to simplify the knitting. Meanwhile, quantum embedding re-frames the problem to allow classical computers to simulate those pieces that can be well-approximated classically, while looping in quantum resources for only the classically difficult parts of the problem. In the context of chemistry, this might describe an active-space calculation that runs on the QPU with a Hamiltonian iteratively updated by a classical simulation of the inactive space.
Finally, error mitigation uses classical post-processing in order to reduce the impact of some classes of errors and get a more-accurate quantum solution. We hope that Quantum + Classical will allow us to realize quantum advantage in certain applications sooner than expected. For the details please follow the link to the full article. Good read!
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