Quantum compiling with a variational instruction set for accurate and fast quantum computing
This work addresses the need for faster and more accurate quantum computing compilation, offering a general approach adaptable to various circuits and hardware, though it appears incremental as it builds on existing variational optimization techniques.
The authors tackled the problem of compiling quantum circuits into physically realizable gates by proposing a quantum variational instruction set (QuVIS) with flexibly designed multi-qubit gates, resulting in a time cost reduction to less than half and algebraic error suppression compared to standard methods like QuMIS.
The quantum instruction set (QIS) is defined as the quantum gates that are physically realizable by controlling the qubits in quantum hardware. Compiling quantum circuits into the product of the gates in a properly defined QIS is a fundamental step in quantum computing. We here propose the quantum variational instruction set (QuVIS) formed by flexibly designed multi-qubit gates for higher speed and accuracy of quantum computing. The controlling of qubits for realizing the gates in a QuVIS is variationally achieved using the fine-grained time optimization algorithm. Significant reductions in both the error accumulation and time cost are demonstrated in realizing the swaps of multiple qubits and quantum Fourier transformations, compared with the compiling by a standard QIS such as the quantum microinstruction set (QuMIS, formed by several one- and two-qubit gates including one-qubit rotations and controlled-NOT gates). With the same requirement on quantum hardware, the time cost for QuVIS is reduced to less than one half of that for QuMIS. Simultaneously, the error is suppressed algebraically as the depth of the compiled circuit is reduced. As a general compiling approach with high flexibility and efficiency, QuVIS can be defined for different quantum circuits and be adapted to the quantum hardware with different interactions.