.png){kind=icon}
Return
Efficient quantum programming using EASE gates on a trapped-ion quantum computer
.png){kind=icon}
OA
AI
DOI：10.22331/q-2022-01-27-634.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Parallel operations in conventional computing have proven to be an essential tool for efficient and practical computation, and the story is not different for quantum computing. Indeed, there exists a large body of works that study advantages of parallel implementations of quantum gates for efficient quantum circuit implementations. Here, we focus on the recently invented efficient, arbitrary, simultaneously entangling (EASE) gates, available on a trapped-ion quantum computer. Leveraging its flexibility in selecting arbitrary pairs of qubits to be coupled with any degrees of entanglement, all in parallel, we show an n-qubit Clifford circuit can be implemented using 6 log(n) EASE gates, an n-qubit multiply-controlled NOT gate can be implemented using 3n/2 EASE gates, and an n-qubit permutation can be implemented using six EASE gates. We discuss their implications to near-term quantum chemistry simulations and the state of the art pattern matching algorithm. Given Clifford + multiply-controlled NOT gates form a universal gate set for quantum computing, our results imply efficient quantum computation by EASE gates, in general.
Journal
IF:
5.4
Papers:
974
Citations:
1.0W
Organization
Cited Papers
ShareSaveResource-Optimized Fermionic Local-Hamiltonian Simulation on a Quantum Computer for Quantum Chemistry.png)
QUANTUMOAAI
QUANTUMIF5.4
OAAIShareSaveShareSaveEfficient arbitrary simultaneously entangling gates on a trapped-ion quantum computerNATURE COMMUNICATIONS
OAAI
NATURE COMMUNICATIONSIF15.7
OAAIShareSaveShareSaveShareSaveShareSave no more
no more