Quantum Sensing with Erasure Qubits.


Journal

Physical review letters
ISSN: 1079-7114
Titre abrégé: Phys Rev Lett
Pays: United States
ID NLM: 0401141

Informations de publication

Date de publication:
23 Aug 2024
Historique:
received: 23 10 2023
revised: 23 06 2024
accepted: 23 07 2024
medline: 7 9 2024
pubmed: 7 9 2024
entrez: 6 9 2024
Statut: ppublish

Résumé

The dominant noise in an "erasure qubit" is an erasure-a type of error whose occurrence and location can be detected. Erasure qubits have potential to reduce the overhead associated with fault tolerance. To date, research on erasure qubits has primarily focused on quantum computing and quantum networking applications. Here, we consider the applicability of erasure qubits to quantum sensing and metrology. We show theoretically that, for the same level of noise, an erasure qubit acts as a more precise sensor or clock compared to its nonerasure counterpart. We experimentally demonstrate this by artificially injecting either erasure errors (in the form of atom loss) or dephasing errors into a differential optical lattice clock comparison, and observe enhanced precision in the case of erasure errors for the same injected error rate. In the context of a clock with repeated measurement cycles, erasure can improve the stability by a factor of 2. Similar benefits of erasure qubits to sensing can be realized in other quantum platforms like Rydberg atoms and superconducting qubits.

Identifiants

pubmed: 39241725
doi: 10.1103/PhysRevLett.133.080801
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

080801

Auteurs

Pradeep Niroula (P)

<a href="https://ror.org/02048n894">Joint Center for Quantum Information and Computer Science</a>, NIST/<a href="https://ror.org/047s2c258">University of Maryland</a>, College Park, Maryland 20742, USA.
<a href="https://ror.org/04xz38214">Joint Quantum Institute</a>, NIST/<a href="https://ror.org/047s2c258">University of Maryland</a>, College Park, Maryland 20742, USA.

Jack Dolde (J)

Department of Physics, <a href="https://ror.org/01y2jtd41">University of Wisconsin-Madison</a>, Madison, Wisconsin 53706, USA.

Xin Zheng (X)

Department of Physics, <a href="https://ror.org/01y2jtd41">University of Wisconsin-Madison</a>, Madison, Wisconsin 53706, USA.

Jacob Bringewatt (J)

<a href="https://ror.org/02048n894">Joint Center for Quantum Information and Computer Science</a>, NIST/<a href="https://ror.org/047s2c258">University of Maryland</a>, College Park, Maryland 20742, USA.
<a href="https://ror.org/04xz38214">Joint Quantum Institute</a>, NIST/<a href="https://ror.org/047s2c258">University of Maryland</a>, College Park, Maryland 20742, USA.

Adam Ehrenberg (A)

<a href="https://ror.org/02048n894">Joint Center for Quantum Information and Computer Science</a>, NIST/<a href="https://ror.org/047s2c258">University of Maryland</a>, College Park, Maryland 20742, USA.
<a href="https://ror.org/04xz38214">Joint Quantum Institute</a>, NIST/<a href="https://ror.org/047s2c258">University of Maryland</a>, College Park, Maryland 20742, USA.

Kevin C Cox (KC)

<a href="https://ror.org/011hc8f90">DEVCOM Army Research Laboratory</a>, Adelphi, Maryland 20783, USA.

Jeff Thompson (J)

Department of Electrical and Computer Engineering, <a href="https://ror.org/00hx57361">Princeton University</a>, Princeton, New Jersey, 08544, USA.

Michael J Gullans (MJ)

<a href="https://ror.org/02048n894">Joint Center for Quantum Information and Computer Science</a>, NIST/<a href="https://ror.org/047s2c258">University of Maryland</a>, College Park, Maryland 20742, USA.

Shimon Kolkowitz (S)

Department of Physics, <a href="https://ror.org/01y2jtd41">University of Wisconsin-Madison</a>, Madison, Wisconsin 53706, USA.

Alexey V Gorshkov (AV)

<a href="https://ror.org/02048n894">Joint Center for Quantum Information and Computer Science</a>, NIST/<a href="https://ror.org/047s2c258">University of Maryland</a>, College Park, Maryland 20742, USA.
<a href="https://ror.org/04xz38214">Joint Quantum Institute</a>, NIST/<a href="https://ror.org/047s2c258">University of Maryland</a>, College Park, Maryland 20742, USA.

Classifications MeSH