Details

Autor(en) / Beteiligte

• Spring, Justin B.
• Metcalf, Benjamin J.
• Humphreys, Peter C.
• Kolthammer, W. Steven
• Jin, Xian-Min
• Barbieri, Marco
• Datta, Animesh
• Thomas-Peter, Nicholas
• Langford, Nathan K.
• Kundys, Dmytro
• Gates, James C.
• Smith, Brian J.
• Smith, Peter G. R.
• Walmsley, Ian A.

Titel

Boson Sampling on a Photonic Chip

Ist Teil von

• Science (American Association for the Advancement of Science), 2013-02, Vol.339 (6121), p.798-801

Ort / Verlag

Washington, DC: American Association for the Advancement of Science

Erscheinungsjahr

2013

Link zum Volltext

Quelle

American Association for the Advancement of Science

Beschreibungen/Notizen

• 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.