Journal
PHYSICAL REVIEW LETTERS
Volume 118, Issue 10, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevLett.118.100503
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Funding
- Engineering and Physical Sciences Research Council (EPSRC) [UF130574, EP/J017175/1, EP/K021931/1, EP/K033085/1]
- European Research Council (ERC) [608062, 641039]
- Photonic Integrated Compound Quantum Encoding (PICQUE)
- FP7 Action: Beyond the Barriers of Optical Integration (BBOI) [FP7-ICT-2013-C]
- Quantum Simulation on a Photonic Chip (QuChip)
- U. S. Army Research Office (ARO)
- Centre for Nanoscience and Quantum Information (NSQI)
- Royal Society
- Royal Academy of Engineering Chair in Emerging Technologies
- EPSRC Early Career Fellowship
- Toshiba Research Fellowship scheme
- Royal Society [UF130574] Funding Source: Royal Society
- Engineering and Physical Sciences Research Council [EP/K033085/1, EP/J017175/1, EP/I035935/1, EP/K021931/1, EP/L024020/1] Funding Source: researchfish
- EPSRC [EP/K033085/1, EP/I035935/1, EP/J017175/1, EP/K021931/1, EP/L024020/1] Funding Source: UKRI
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Quantum phase estimation is a fundamental subroutine in many quantum algorithms, including Shor's factorization algorithm and quantum simulation. However, so far results have cast doubt on its practicability for near-term, nonfault tolerant, quantum devices. Here we report experimental results demonstrating that this intuition need not be true. We implement a recently proposed adaptive Bayesian approach to quantum phase estimation and use it to simulate molecular energies on a silicon quantum photonic device. The approach is verified to be well suited for prethreshold quantum processors by investigating its superior robustness to noise and decoherence compared to the iterative phase estimation algorithm. This shows a promising route to unlock the power of quantum phase estimation much sooner than previously believed.
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