Hardware-efficient entangled measurements for variational quantum algorithms
Francisco Escudero, David Fern\'andez-Fern\'andez, Gabriel Jaum\`a,, Guillermo F. Pe\~nas, and Luciano Pereira

TL;DR
This paper introduces hardware-efficient entangled measurements (HEEM) for variational quantum algorithms, reducing circuit count and depth by limiting entanglement to physically connected qubits, thus improving performance on NISQ devices.
Contribution
The paper proposes HEEM, a measurement scheme that enhances variational algorithms by optimizing entanglement to only physically connected qubits, improving efficiency on NISQ hardware.
Findings
HEEM reduces the number of circuits needed for Hamiltonian evaluation.
HEEM improves accuracy over local and arbitrarily entangled measurements.
Experimental results demonstrate effective ground-state energy estimation for H$_2$O.
Abstract
Variational algorithms have received significant attention in recent years due to their potential to solve practical problems using noisy intermediate-scale quantum (NISQ) devices. A fundamental step of these algorithms is the evaluation of the expected value of Hamiltonians, and hence efficient schemes to perform this task are required. The standard approach employs local measurements of Pauli operators and requires a large number of circuits. An alternative is to make use of entangled measurements, which might introduce additional gates between physically disconnected qubits that harm the performance. As a solution to this problem, we propose hardware-efficient entangled measurements (HEEM), that is, measurements that permit only entanglement between physically connected qubits. We show that this strategy enhances the evaluation of molecular Hamiltonians in NISQ devices by reducing…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum and electron transport phenomena
