Vice President of AI & Quantum Computing, Paul Smith-Goodson dives in as new IBM research paper demonstrates error mitigation used to obtain superior quantum performance.
According to IBM, three major problems must be solved for quantum machines to perform useful problems:Quantum processors must have sufficient speed .
That said, quantum error correction is a complex engineering and physics problem, and a truly satisfactory answer for it appears to be many years away. This is important because scaling a quantum computer to tens of thousands of qubits simply isn’t possible without error correction. IBM used its 127-qubit Eagle R3 processor to simulate 127 interacting spin states. For the simulation, each qubit played the role of a spin, using two-qubit gates with a depth of 60. UCBerkeley ran the equivalent problem using cutting-edge tensor network techniques on powerful classical supercomputers at the National Energy Research Scientific Computing Center and at Purdue University.
Based on the performance against the brute-force methods, the quantum simulation was still able to run and produce reasonable results, versus the classical approximation methods. Overall, quantum processing provided greater accuracy and in shorter timeframes. IBM credits much of the experiment’s success to the quality of its quantum hardware and new error mitigation methods such as PEC and ZNE.
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