ArQTiC: A full-stack software package for simulating materials on quantum computers

Bassman, Lindsay; Powers, Connor; Jong, Wibe A. de

doi:10.48550/arxiv.2106.04749

Cited by 6 publications

(7 citation statements)

References 32 publications

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“…QFT is Quantum Fourier Transform and Heisenberg is a Hamiltonian evolution algorithm for material simulations. These algorithms cover a wide range of circuit characteristics [3,6,9,12,16,28,30].…”

Section: Experimental Methodologymentioning

confidence: 99%

Geyser

Patel

Silver

Tiwari

2022

Proceedings of the 49th Annual International Symposium on Computer Architecture

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Compared to widely-used superconducting qubits, neutral-atom quantum computing technology promises potentially better scalability and flexible arrangement of qubits to allow higher operation parallelism and more relaxed cooling requirements. The high performance computing (HPC) and architecture community is beginning to design new solutions to take advantage of neutral-atom quantum architectures and overcome its unique challenges.We propose Geyser, the first work to take advantage of the multiqubit gates natively supported by neutral-atom quantum computers by appropriately mapping quantum circuits to three-qubit-friendly physical arrangement of qubits. Then, Geyser creates multiple logical blocks in the quantum circuit to exploit quantum parallelism and reduce the number of pulses needed to realize physical gates. These circuit blocks elegantly enable Geyser to compose equivalent circuits with three-qubit gates, even when the original program does not have any multi-qubit gates. Our evaluation results show Geyser reduces the number of operation pulses by 25%-90% and improves the algorithm's output fidelity by 25%-60% points across different algorithms. CCS CONCEPTS• Computer systems organization → Quantum computing.

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Section: Experimental Methodologymentioning

confidence: 99%

Geyser

Patel

Silver

Tiwari

2022

Proceedings of the 49th Annual International Symposium on Computer Architecture

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“…We also compare to the circuit generated when all the Qiskit compiler optimizations are applied to this Baseline circuit. These compiler optimizations are simply XY quantum Heisenberg model [3] referred to as Qiskit. When these compiler passes are applied to the approximate circuits produced by QEst, the results generated by the produced circuits are referred to as QEst + Qiskit.…”

Section: Evaluation 41 Experimental Setup and Methodologymentioning

confidence: 99%

“…1(a) and (b) show the output of the TFIM (Transverse Field Ising Model) and Heisenberg quantum algorithms, respectively, in the ideal (ground truth) scenario vs. the case in which they are on run on the real IBMQ Manila quantum computer [6]. TFIM outputs the time evolution of the average magnetization (energy) of a four-spin physical system with only the 𝑧 Hamiltonian interaction component, while Heisenberg outputs the time evolution of a four-spin system with 𝑥, 𝑦, 𝑧 Hamiltonian interaction components [3]. Even though the IBMQ Manila computer is a relatively low-error NISQ device and all of the Qiskit compiler optimizations are applied when running the circuit on the computer, the output is far from the expected ideal output.…”

Section: Motivation For Qestmentioning

confidence: 99%

Robust and Resource-Efficient Quantum Circuit Approximation

Patel,

Younis,

Iancu

et al. 2021

Preprint

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We present QEst, a procedure to systematically generate approximations for quantum circuits to reduce their CNOT gate count. Our approach employs circuit partitioning for scalability with procedures to 1) reduce circuit length using approximate synthesis, 2) improve fidelity by running circuits that represent key samples in the approximation space, and 3) reason about approximation upper bound. Our evaluation results indicate that our approach of "dissimilar" approximations provides close fidelity to the original circuit. Overall, the results indicate that QEst can reduce CNOT gate count by 30-80% on ideal systems and decrease the impact of noise on existing and near-future quantum systems.

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“…Psitrum is a gate-model quantum computer simulator that follows the workflow of many full-stack quantum simulators [53][54][55][56] . First, the problem is defined at a high-level of abstraction, and based on the type of the problem a quantum algorithm is selected in such a way that maximize the output probabilities of the solution.…”

Section: Framework Of Psitrummentioning

confidence: 99%

Psitrum: An Open Source Simulator for Universal Quantum Computers

Alghadeer

Aldawsari

Selvarajan

et al. 2022

Preprint

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Quantum computing is a radical new paradigm for a technology that is capable to revolutionize information processing. Simulators of universal quantum computer are important for understanding the basic principles and operations of the current noisy intermediate-scale quantum (NISQ) processors, and for building in future fault-tolerant quantum computers. In this work, we present simulation of universal quantum computers by introducing Psitrum – a universal gate-model quantum computer simulator implemented on classical hardware. The simulator allows to emulate and debug quantum algorithms in form of quantum circuits for many applications with the choice of adding variety of noise modules to simulate decoherence in quantum circuits. Psitrum allows to simulate all basic quantum operations and provides variety of visualization tools. The simulator allows to trace out all possible quantum states at each stage M of an N-qubit implemented quantum circuit. Psitrum software and source codes are freely available at: https://github.com/MoGhadeer/Psitrum.

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ArQTiC: A full-stack software package for simulating materials on quantum computers

Cited by 6 publications

References 32 publications

Geyser

Geyser

Robust and Resource-Efficient Quantum Circuit Approximation

Psitrum: An Open Source Simulator for Universal Quantum Computers

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