Quantum Computing Hardware

Which correctly describes photonic quantum computing, which uses photons as qubits?

  1. APhotons are little affected by their surroundings and travel even at room temperature, but they hardly interact with each other, so two-qubit operations must be realized by methods such as probabilistic schemes combined with measurement
  2. BPhotons interact strongly with each other, so their biggest advantage is that two-qubit gates can be performed reliably
  3. CPhotons are never lost along the way, so optical loss does not need to be considered
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Answer: A. Photons are little affected by their surroundings and travel even at room temperature, but they hardly interact with each other, so two-qubit operations must be realized by methods such as probabilistic schemes combined with measurement

Photons interact little with their surroundings and travel through optical fibers and waveguides while keeping their quantum state even at room temperature, so this approach also fits well with quantum communication. On the other hand, photons hardly interact with each other, so two-qubit operations are realized by probabilistic methods that combine auxiliary photons with measurement, or by preparing an entangled state of many photons and advancing the computation through measurements. Loss of a photon is directly an error, so low-loss optical circuits and efficient single-photon sources and detectors are key. Superconducting nanowire single-photon detectors (SNSPDs), which operate at cryogenic temperatures, are commonly used as detectors, and silicon photonics fabrication technology is expected to be useful for the optical circuits.

  • A. Correct. The weak interaction between photons is what makes two-qubit operations difficult.
  • B. It is the other way around: the interaction between photons is extremely weak, and that is what makes two-qubit gates difficult.
  • C. Optical loss is one of the biggest challenges for photonic quantum computing.
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More Quantum Computing Hardware questions

  1. A rotated surface code of code distance d uses, for one logical qubit, d² physical data qubits and d² − 1 physical measurement qubits that check for errors. For d = 15, how many physical qubits does one logical qubit need?
  2. Suppose the logical error rate p_L of a surface code can be approximated as p_L ∝ (p/p_th)^((d+1)/2), using the physical error rate p, the threshold p_th and the code distance d. With p = 0.1% and p_th = 1%, which is closest to the ratio of logical error rates when d is increased from 5 to 9 (the value at d = 5 divided by the value at d = 9)?
  3. Which correctly describes the kind of quantum computer called NISQ?
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  5. Once large fault-tolerant quantum computers are built, which ciphers are expected to have their security seriously undermined by Shor's algorithm?