Speaker
Description
Quantum computers require qubits to be initialized in a pure
(i.e., cold) state for successful computation. Dynamic cooling offers a
route to effectively lower qubit temperatures beyond what is possible
with direct, physical cooling techniques in an energy efficient manner.
It works by cooling a subset of qubits, at the expense of heating
others, by applying certain logic gates to the entire system. While it
was initially dismissed as impractical for the high-temperature
NMR-based quantum computers available at the time of its inception, we
show how dynamic cooling is substantially more effective and efficient
on the low-temperature quantum computers available today. In this talk,
we will examine how optimal dynamic cooling scales with total system
size, in terms of the minimal achievable final temperature, the work
cost, and the complexity of the associated quantum circuits. We will
observe the effect of hardware noise on cooling and share results of a
successful demonstration of dynamic cooling with a 3-qubit system on a
real quantum processor. Finally, we will propose a sub-optimal dynamic
cooling scheme with fixed (low) complexity to improve the feasibility of
implementation on noisy quantum hardware.
