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| Hauptseite > Publikationsdatenbank > Pulse-level noisy quantum circuits with QuTiP > print |
| 001 | 910455 | ||
| 005 | 20230123110703.0 | ||
| 024 | 7 | _ | |a 10.22331/q-2022-01-24-630 |2 doi |
| 024 | 7 | _ | |a 2128/32136 |2 Handle |
| 024 | 7 | _ | |a WOS:000750588700001 |2 WOS |
| 037 | _ | _ | |a FZJ-2022-03844 |
| 082 | _ | _ | |a 530 |
| 100 | 1 | _ | |a Li, Boxi |0 P:(DE-Juel1)185935 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Pulse-level noisy quantum circuits with QuTiP |
| 260 | _ | _ | |a Wien |c 2022 |b Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a The study of the impact of noise on quantum circuits is especially relevant to guide the progress of Noisy IntermediateScale Quantum (NISQ) computing. In this paper, we address the pulse-level simulation of noisy quantum circuits with the Quantum Toolbox in Python (QuTiP). We introduce new tools in qutip-qip, QuTiP’s quantum information processing package.These tools simulate quantum circuits at the pulse level, leveraging QuTiP’s quantum dynamics solvers and control optimization features. We show how quantum circuits can be compiled on simulated processors, with control pulses acting on a target Hamiltonian that describes the unitary evolution of the physical qubits. Various types of noise can be introduced based on the physical model, e.g., by simulating the Lindblad densitymatrix dynamics or Monte Carlo quantum trajectories. In particular, the user can define environment induced decoherence at the processor level and include noise simulation at the level of control pulses. We illustrate how the DeutschJozsa algorithm is compiled and executed on a superconducting-qubit-based processor, on a spin-chain-based processor and using control optimization algorithms. We also show how to easily reproduce experimental results on cross-talk noise in an ion-based processor, and how a Ramsey experiment can be modeled with Lindblad dynamics. Finally, we illustrate how to integrate these features with other software frameworks. |
| 536 | _ | _ | |a 5221 - Advanced Solid-State Qubits and Qubit Systems (POF4-522) |0 G:(DE-HGF)POF4-5221 |c POF4-522 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
| 700 | 1 | _ | |a Ahmed, Shahnawaz |0 P:(DE-HGF)0 |b 1 |e Corresponding author |
| 700 | 1 | _ | |a Saraogi, Sidhant |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Lambert, Neill |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Nori, Franco |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Pitchford, Alexander |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Shammah, Nathan |0 P:(DE-HGF)0 |b 6 |e Corresponding author |
| 773 | _ | _ | |a 10.22331/q-2022-01-24-630 |g Vol. 6, p. 630 - |0 PERI:(DE-600)2931392-2 |p 630 - |t Quantum |v 6 |y 2022 |x 2521-327X |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/910455/files/528773_Fulltext.pdf |y OpenAccess |
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| 910 | 1 | _ | |a 2Department of Microtechnology and Nanoscience, Chalmers University of Technology, 412 96 Gothenburg, Sweden |0 I:(DE-HGF)0 |b 1 |6 P:(DE-HGF)0 |
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| 910 | 1 | _ | |a Department of Computer Science, Georgetown University, 3700 O St NW, Washington, DC 20057, United States |0 I:(DE-HGF)0 |b 2 |6 P:(DE-HGF)0 |
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| 910 | 1 | _ | |a Theoretical Quantum Physics Laboratory, RIKEN Cluster for Pioneering Research, Wako-shi, Saitama 351-0198, Japan |0 I:(DE-HGF)0 |b 3 |6 P:(DE-HGF)0 |
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| 910 | 1 | _ | |a Department of Mathematics, Aberystwyth University, Penglais Campus, Aberystwyth, SY23 3BZ, Wales, United Kingdom |0 I:(DE-HGF)0 |b 5 |6 P:(DE-HGF)0 |
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| 914 | 1 | _ | |y 2022 |
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