Digital quantum simulation of NMR experiments

Author:

Seetharam Kushal12ORCID,Biswas Debopriyo34ORCID,Noel Crystal34ORCID,Risinger Andrew4ORCID,Zhu Daiwei4ORCID,Katz Or3ORCID,Chattopadhyay Sambuddha2,Cetina Marko45ORCID,Monroe Christopher346ORCID,Demler Eugene7ORCID,Sels Dries89

Affiliation:

1. Department of Electrical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

2. Department of Physics, Harvard University, Cambridge, MA 02138, USA.

3. Department of Electrical and Computer Engineering, Department of Physics, Duke Quantum Center, Duke University, Durham, NC 27708, USA.

4. Joint Quantum Institute, Department of Physics, University of Maryland, College Park, MD 20742, USA.

5. Department of Physics, Duke Quantum Center, Duke University, Durham, NC 27708, USA.

6. IonQ Inc., College Park, MD 20740, USA.

7. Institute for Theoretical Physics, ETH Zürich, 8093 Zürich, Switzerland.

8. Department of Physics, New York University, New York, NY 10003, USA.

9. Center for Computational Quantum Physics, Flatiron Institute, New York, NY 10010, USA.

Abstract

Simulations of nuclear magnetic resonance (NMR) experiments can be an important tool for extracting information about molecular structure and optimizing experimental protocols but are often intractable on classical computers for large molecules such as proteins and for protocols such as zero-field NMR. We demonstrate the first quantum simulation of an NMR spectrum, computing the zero-field spectrum of the methyl group of acetonitrile using four qubits of a trapped-ion quantum computer. We reduce the sampling cost of the quantum simulation by an order of magnitude using compressed sensing techniques. We show how the intrinsic decoherence of NMR systems may enable the zero-field simulation of classically hard molecules on relatively near-term quantum hardware and discuss how the experimentally demonstrated quantum algorithm can be used to efficiently simulate scientifically and technologically relevant solid-state NMR experiments on more mature devices. Our work opens a practical application for quantum computation.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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