Quantum Computing Hardware

What is the main reason silicon spin qubits are expected to suit large-scale systems?

  1. AThey work at room temperature, so no refrigerator is needed at all
  2. BTheir qubits are photons, so they can be sent far away directly over optical fibers
  3. CEach qubit is small, about tens to 100 nm, and many of them might be integrated by drawing on CMOS fabrication technology and 300 mm wafer equipment
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Answer: C. Each qubit is small, about tens to 100 nm, and many of them might be integrated by drawing on CMOS fabrication technology and 300 mm wafer equipment

A silicon spin qubit confines single electrons in quantum dots formed in silicon by the voltages on gate electrodes and uses the direction of each electron's spin as a qubit. Each qubit is about tens to 100 nm in size, far smaller than a superconducting qubit of about several hundred µm, and the fine patterning of semiconductor fabs, manufacturing on 300 mm wafers and wafer-scale characterization are expected to be applicable. Operation at relatively high temperatures of around 1 K has also been reported, which may make it easier to place control circuits nearby. On the other hand, variation between quantum dots and wiring to many densely packed qubits are challenges.

  • A. Qubit operation generally requires cryogenic temperatures of around 1 K or below.
  • B. Using photons as qubits is the photonic approach.
  • C. Correct. They are expected to be integrated by drawing on semiconductor fabrication technology.
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More Quantum Computing Hardware questions

  1. Why is silicon enriched in the isotope ²⁸Si (isotopically purified silicon) used for silicon spin qubits?
  2. Which correctly describes photonic quantum computing, which uses photons as qubits?
  3. 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?
  4. 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)?
  5. Which correctly describes the kind of quantum computer called NISQ?