Encoding of linear kinetic plasma problems in quantum circuits via data compression

Abstract

We propose an algorithm for encoding of linear kinetic plasma problems in quantum circuits. The focus is made on modeling electrostatic linear waves in one-dimensional Maxwellian electron plasma. The waves are described by the linearized Vlasov-Ampère system with a spatially localized external current that drives plasma oscillations. This system is formulated as a boundary-value problem and cast in the form of a linear vector equation $A\psi =b$ to be solved by using the quantum signal processing algorithm. The latter requires encoding of the matrix $A$ in a quantum circuit as a subblock of a unitary matrix. We propose how to encode $A$ in a circuit in a compressed form and discuss how the resulting circuit scales with the problem size and the desired precision.

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• Estimating QSVT angles for matrix inversion with large condition numbers
• Simulating plasma wave propagation on a superconducting quantum chip
• An efficient explicit implementation of a near-optimal quantum algorithm for simulating linear dissipative differential equations