TY - JOUR
T1 - Boson Sampling on a Photonic Chip
AU - Spring, Justin B.
AU - Metcalf, Benjamin J.
AU - Humphreys, Peter C.
AU - Kolthammer, W. Steven
AU - Jin, Xian-Min
AU - Barbieri, Marco
AU - Datta, Animesh
AU - Thomas-Peter, Nicholas
AU - Langford, Nathan K.
AU - Kundys, Dmytro
AU - Gates, James C.
AU - Smith, Brian J.
AU - Smith, Peter G. R.
AU - Walmsley, Ian A.
PY - 2013/2/15
Y1 - 2013/2/15
N2 - Although universal quantum computers ideally solve problems such as factoring integers exponentially more efficiently than classical machines, the formidable challenges in building such devices motivate the demonstration of simpler, problem-specific algorithms that still promise a quantum speedup. We constructed a quantum boson-sampling machine (QBSM) to sample the output distribution resulting from the nonclassical interference of photons in an integrated photonic circuit, a problem thought to be exponentially hard to solve classically. Unlike universal quantum computation, boson sampling merely requires indistinguishable photons, linear state evolution, and detectors. We benchmarked our QBSM with three and four photons and analyzed sources of sampling inaccuracy. Scaling up to larger devices could offer the first definitive quantum-enhanced computation.
AB - Although universal quantum computers ideally solve problems such as factoring integers exponentially more efficiently than classical machines, the formidable challenges in building such devices motivate the demonstration of simpler, problem-specific algorithms that still promise a quantum speedup. We constructed a quantum boson-sampling machine (QBSM) to sample the output distribution resulting from the nonclassical interference of photons in an integrated photonic circuit, a problem thought to be exponentially hard to solve classically. Unlike universal quantum computation, boson sampling merely requires indistinguishable photons, linear state evolution, and detectors. We benchmarked our QBSM with three and four photons and analyzed sources of sampling inaccuracy. Scaling up to larger devices could offer the first definitive quantum-enhanced computation.
UR - http://www.scopus.com/inward/record.url?scp=84873722896&partnerID=8YFLogxK
U2 - 10.1126/science.1231692
DO - 10.1126/science.1231692
M3 - Article
C2 - 23258407
AN - SCOPUS:84873722896
SN - 0036-8075
VL - 339
SP - 798
EP - 801
JO - Science
JF - Science
IS - 6121
ER -