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Experimental realization of Shor's quantum factoring algorithm using qubit recycling - Nature Photonics

Quantum computational algorithms exploit quantum mechanics to solve problems exponentially faster than the best classical algorithms1,2,3. Shor's quantum algorithm4 for fast number factoring is a key example and the prime motivator in the international effort to realize a quantum computer5. However, due to the substantial resource requirement, to date there have been only four small-scale demonstrations6,7,8,9. Here, we address this resource demand and demonstrate a scalable version of Shor's algorithm in which the n-qubit control register is replaced by a single qubit that is recycled n times: the total number of qubits is one-third of that required in the standard protocol10,11. Encoding the work register in higher-dimensional states, we implement a two-photon compiled algorithm to factor N = 21. The algorithmic output is distinguishable from noise, in contrast to previous demonstrations. These results point to larger-scale implementations of Shor's algorithm by harnessing scalable resource reductions applicable to all physical architectures. By using qubit recycling, researchers demonstrate a scalable version of Shor's algorithm in which the total number of qubits is one third of that required in the standard protocol. They experimentally implemented a two-photon compiled algorithm to factor N = 21, pointing to larger-scale implementations of Shor's algorithm.



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Experimental realization of Shor's quantum factoring algorithm using qubit recycling - Nature Photonics

https://www.nature.com/nphoton/journal/v6/n11/full/nphoton.2012.259.html

Quantum computational algorithms exploit quantum mechanics to solve problems exponentially faster than the best classical algorithms1,2,3. Shor's quantum algorithm4 for fast number factoring is a key example and the prime motivator in the international effort to realize a quantum computer5. However, due to the substantial resource requirement, to date there have been only four small-scale demonstrations6,7,8,9. Here, we address this resource demand and demonstrate a scalable version of Shor's algorithm in which the n-qubit control register is replaced by a single qubit that is recycled n times: the total number of qubits is one-third of that required in the standard protocol10,11. Encoding the work register in higher-dimensional states, we implement a two-photon compiled algorithm to factor N = 21. The algorithmic output is distinguishable from noise, in contrast to previous demonstrations. These results point to larger-scale implementations of Shor's algorithm by harnessing scalable resource reductions applicable to all physical architectures. By using qubit recycling, researchers demonstrate a scalable version of Shor's algorithm in which the total number of qubits is one third of that required in the standard protocol. They experimentally implemented a two-photon compiled algorithm to factor N = 21, pointing to larger-scale implementations of Shor's algorithm.



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https://www.nature.com/nphoton/journal/v6/n11/full/nphoton.2012.259.html

Experimental realization of Shor's quantum factoring algorithm using qubit recycling - Nature Photonics

Quantum computational algorithms exploit quantum mechanics to solve problems exponentially faster than the best classical algorithms1,2,3. Shor's quantum algorithm4 for fast number factoring is a key example and the prime motivator in the international effort to realize a quantum computer5. However, due to the substantial resource requirement, to date there have been only four small-scale demonstrations6,7,8,9. Here, we address this resource demand and demonstrate a scalable version of Shor's algorithm in which the n-qubit control register is replaced by a single qubit that is recycled n times: the total number of qubits is one-third of that required in the standard protocol10,11. Encoding the work register in higher-dimensional states, we implement a two-photon compiled algorithm to factor N = 21. The algorithmic output is distinguishable from noise, in contrast to previous demonstrations. These results point to larger-scale implementations of Shor's algorithm by harnessing scalable resource reductions applicable to all physical architectures. By using qubit recycling, researchers demonstrate a scalable version of Shor's algorithm in which the total number of qubits is one third of that required in the standard protocol. They experimentally implemented a two-photon compiled algorithm to factor N = 21, pointing to larger-scale implementations of Shor's algorithm.

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