A powerful control method in experimental quantum computing is the use of spin echoes, employed to select a desired term in the system’s internal Hamiltonian, while refocusing others. Here, we address a more general problem, describing a method to not only turn on and off particular interactions but also to rescale their strengths so that we can generate any desired effective internal Hamiltonian. We propose an algorithm based on linear programming for achieving time-optimal rescaling solutions in fully coupled systems of tens of qubits, which can be modified to obtain near-time-optimal solutions for rescaling systems with hundreds of qubits. Further, we propose an analytic method based on graph colouring to address the rescaling problem in systems with any number of qubits, however, with only nearest/next-nearest neighbour couplings.



[1] Rescaling interactions for quantum control, G. Bhole, T. Tsunoda, P. J. Leek, and J. A. Jones, Phys. Rev. Appl. 13, 034002 (2020).

[2] Efficient Hamiltonian programming in qubit arrays with nearest-neighbour couplings, T. Tsunoda, G. Bhole, S. A. Jones, J. A. Jones, and P. J. Leek, Phys. Rev. A 102 032405 (2020).

Efficient Hamiltonian programming in qubit arrays with nearest-neighbour couplings

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The Institute of Physics and IOP Publishing, in partnership with the Chinese Physical Society (CPS) and the University of Science and Technology of China (USTC) are proud to have brought together the international quantum science community online for this inaugural conference.

Early career and leading researchers from universities, industry and government worldwide came together to share, learn and collaborate on the latest research and emerging areas of high interest across quantum science and technology. 

Gaurav Bhole

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Efficient Hamiltonian programming in qubit arrays with nearest-neighbour couplings

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