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Logical quantum processor based on reconfigurable atom arrays

Journal Article · · Nature (London)
 [1];  [2];  [2];  [2];  [3];  [2];  [2];  [2];  [2];  [4];  [2];  [2];  [2];  [2];  [5];  [5];  [2];  [4];  [2];  [6] more »;  [2] « less
  1. Harvard University, Cambridge, MA (United States); OSTI
  2. Harvard University, Cambridge, MA (United States)
  3. Harvard University, Cambridge, MA (United States); QuEra Computing Inc., Boston, MA (United States)
  4. NIST/University of Maryland, College Park, MD (United States)
  5. QuEra Computing Inc., Boston, MA (United States)
  6. Massachusetts Institute of Technology (MIT), Cambridge, MA (United States)

Suppressing errors is the central challenge for useful quantum computing, requiring quantum error correction (QEC) for large-scale processing. However, the overhead in the realization of error-corrected ‘logical’ qubits, in which information is encoded across many physical qubits for redundancy, poses substantial challenges to large-scale logical quantum computing. Here we report the realization of a programmable quantum processor based on encoded logical qubits operating with up to 280 physical qubits. Using logical-level control and a zoned architecture in reconfigurable neutral-atom arrays, our system combines high two-qubit gate fidelities, arbitrary connectivity, as well as fully programmable single-qubit rotations and mid-circuit readout. Operating this logical processor with various types of encoding, we demonstrate improvement of a two-qubit logic gate by scaling surface-code distance from d = 3 to d = 7, preparation of colour-code qubits with break-even fidelities, fault-tolerant creation of logical Greenberger–Horne–Zeilinger (GHZ) states and feedforward entanglement teleportation, as well as operation of 40 colour-code qubits. Finally, using 3D [[8,3,2]] code blocks, we realize computationally complex sampling circuits with up to 48 logical qubits entangled with hypercube connectivity with 228 logical two-qubit gates and 48 logical CCZ gates. We find that this logical encoding substantially improves algorithmic performance with error detection, outperforming physical-qubit fidelities at both cross-entropy benchmarking and quantum simulations of fast scrambling. These results herald the advent of early error-corrected quantum computation and chart a path towards large-scale logical processors.

Research Organization:
Krell Institute, Ames, IA (United States)
Sponsoring Organization:
USDOE Office of Science (SC); Army Research Office MURI; NSF Graduate Research Fellowship Program
Grant/Contract Number:
SC0020347; SC0021110
OSTI ID:
2471928
Journal Information:
Nature (London), Journal Name: Nature (London) Journal Issue: 7997 Vol. 626; ISSN 0028-0836
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English

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