Digitized-Counterdiabatic Quantum Optimization

• URL: http://arxiv.org/abs/2201.00790v1
• Date: Mon, 3 Jan 2022 18:21:54 GMT
• Title: Digitized-Counterdiabatic Quantum Optimization
• Authors: Narendra N. Hegade, Xi Chen, Enrique Solano
• Abstract summary: We propose digitized-diabatic quantum optimization (DCQO) to achieve enhancement over adiabatic quantum optimization for the general Ising spin-glass model. This is accomplished via the digitization of adiabatic quantum algorithms that are catalysed by the addition of non-stoquastic counterdiabatic terms.
• Score: 4.336065967298193
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We propose digitized-counterdiabatic quantum optimization (DCQO) to achieve polynomial enhancement over adiabatic quantum optimization for the general Ising spin-glass model, which includes the whole class of combinatorial optimization problems. This is accomplished via the digitization of adiabatic quantum algorithms that are catalysed by the addition of non-stoquastic counterdiabatic terms. The latter are suitably chosen, not only for escaping classical simulability, but also for speeding up the performance. Finding the ground state of a general Ising spin-glass Hamiltonian is used to illustrate that the inclusion of k-local non-stoquastic counterdiabatic terms can always outperform the traditional adiabatic quantum optimization with stoquastic Hamiltonians. In particular, we show that a polynomial enhancement in the ground-state success probability can be achieved for a finite-time evolution, even with the simplest 2-local counterdiabatic terms. Furthermore, the considered digitization process, within the gate-based quantum computing paradigm, provides the flexibility to introduce arbitrary non-stoquastic interactions. Along these lines, using our proposed paradigm on current NISQ computers, quantum speed-up may be reached to find approximate solutions for NP-complete and NP-hard optimization problems. We expect DCQO to become a fast-lane paradigm towards quantum advantage in the NISQ era.

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