Pulser: An open-source package for the design of pulse sequences in programmable neutral-atom arrays

Silvério, Henrique; Grijalva, Sebastián; Dalyac, Constantin; Leclerc, Lucas; Karalekas, Peter J.; Shammah, Nathan; Beji, Mourad; Henry, Louis-Paul; Henriet, Loïc

doi:10.22331/q-2022-01-24-629

Cited by 28 publications

(8 citation statements)

References 53 publications

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“…The Hamiltonians contain 118 and 165 Pauli strings respectively. To design the pulse sequence and include realistic device constraints into the simulations we used the open source package Pulser [42]. The Powell algorithm [43] was used for the classical optimization of the pulse values with 20 function evaluations for each iteration.…”

Section: A Application On Lih and Beh2 Moleculesmentioning

confidence: 99%

A blueprint for a Digital-Analog Variational Quantum Eigensolver using Rydberg atom arrays

Antoine¹,

Grijalva²,

Henriet³

et al. 2023

Preprint

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We address the task of estimating the ground-state energy of Hamiltonians coming from chemistry. We study numerically the behavior of a digital-analog variational quantum eigensolver for the H2, LiH and BeH2 molecules, and we observe that one can estimate the energy to a few percent points of error leveraging on learning the atom register positions with respect to selected features of the molecular Hamiltonian and then an iterative pulse shaping optimization, where each step performs a derandomization energy estimation.

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Section: A Application On Lih and Beh2 Moleculesmentioning

confidence: 99%

A blueprint for a Digital-Analog Variational Quantum Eigensolver using Rydberg atom arrays

Antoine¹,

Grijalva²,

Henriet³

et al. 2023

Preprint

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“…The modeling of analog quantum devices is much more challenging. Unlike the gate model where the fundamental primitives are a finite number of one or two-qubit unitaries, analog quantum devices are usually described by one global Hamiltonian, which differs significantly device by device [QuEra 2022;Silvério et al 2022]. Inspired by the underlying control of these Hamiltonians, we propose a new abstraction called the Abstract Analog Instruction Set (AAIS) to describe the programmability of heterogeneous analog devices.…”

Section: Introductionmentioning

confidence: 99%

SimuQ: A Domain-Specific Language For Quantum Simulation With Analog Compilation

Peng¹,

Young²,

Liu³

et al. 2023

Preprint

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Hamiltonian simulation is one of the most promising applications of quantum computing. Recent experimental results suggest that continuous-time analog quantum simulation would be advantageous over gate-based digital quantum simulation in the Noisy Intermediate-Size Quantum (NISQ) machine era. However, programming such analog quantum simulators is much more challenging due to the lack of a unified interface between hardware and software, and the only few known examples are all hardware-specific. In this paper, we design and implement SimuQ, the first domain-specific language for Hamiltonian simulation that supports pulse-level compilation to heterogeneous analog quantum simulators. Specifically, in SimuQ, front-end users will specify the target Hamiltonian evolution with a Hamiltonian modeling language, and the programmability of analog simulators is specified through a new abstraction called the abstract analog instruction set by hardware providers. Through a solver-based compilation, SimuQ will generate the pulse-level instruction schedule on the target analog simulator for the desired Hamiltonian evolution, which has been demonstrated on pulse-controlled superconducting (Qiskit Pulse) and neutral-atom (QuEra Bloqade) quantum systems, as well as on normal circuit-based digital quantum machines. Moreover, we also demonstrate the advantage of analog compilation over digital compilation on IBM machines, the use of SimuQ for resource estimation for hypothetical machines, and a scalability test of SimuQ's compilation.

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“…Quantum computation can be viewed as an assembly of analogue control pulses driving quantum states toward desired targets [5,43,49,67,75]. An accurate dynamical model is important for designing optimal control pulses sufficient for each application [13].…”

Section: Introductionmentioning

confidence: 99%

Model predictive control for robust quantum state preparation

Goldschmidt

Dubois

Brunton

et al. 2022

Quantum

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A critical engineering challenge in quantum technology is the accurate control of quantum dynamics. Model-based methods for optimal control have been shown to be highly effective when theory and experiment closely match. Consequently, realizing high-fidelity quantum processes with model-based control requires careful device characterization. In quantum processors based on cold atoms, the Hamiltonian can be well-characterized. For superconducting qubits operating at milli-Kelvin temperatures, the Hamiltonian is not as well-characterized. Unaccounted for physics (i.e., mode discrepancy), coherent disturbances, and increased noise compromise traditional model-based control. This work introduces model predictive control (MPC) for quantum control applications. MPC is a closed-loop optimization framework that (i) inherits a natural degree of disturbance rejection by incorporating measurement feedback, (ii) utilizes finite-horizon model-based optimizations to control complex multi-input, multi-output dynamical systems under state and input constraints, and (iii) is flexible enough to develop synergistically alongside other modern control strategies. We show how MPC can be used to generate practical optimized control sequences in representative examples of quantum state preparation. Specifically, we demonstrate for a qubit, a weakly-anharmonic qubit, and a system undergoing crosstalk, that MPC can realize successful model-based control even when the model is inadequate. These examples showcase why MPC is an important addition to the quantum engineering control suite.

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Pulser: An open-source package for the design of pulse sequences in programmable neutral-atom arrays

Cited by 28 publications

References 53 publications

A blueprint for a Digital-Analog Variational Quantum Eigensolver using Rydberg atom arrays

A blueprint for a Digital-Analog Variational Quantum Eigensolver using Rydberg atom arrays

SimuQ: A Domain-Specific Language For Quantum Simulation With Analog Compilation

Model predictive control for robust quantum state preparation

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