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Congrats to Jonas Glatthard for his first published paper! And he did it in style, in #QuantumJournal no less.
"Bending the rules of low-temperature thermometry with periodic driving"
quantum-journal.org/papers/q-2022-…
Wan to get the gist of it? A thread🧵
@UoE_Physics #QuantumTwitter
"Bending the rules of low-temperature thermometry with periodic driving"
quantum-journal.org/papers/q-2022-…
Wan to get the gist of it? A thread🧵
@UoE_Physics #QuantumTwitter
#QuantumThermometry is HARD. Not just in practice, but even in principle.
As one approaches the absolute zero, the noise-to-signal ratio of temperature estimates diverges.
Hence, it does matter, how fast is this precision loss.
As one approaches the absolute zero, the noise-to-signal ratio of temperature estimates diverges.
Hence, it does matter, how fast is this precision loss.
At best, the relative error grows as a power law as T → 0. And the exponent is set by the low-frequency dependence of the density of states of the sample being measured.
quantum-journal.org/papers/q-2019-…
arxiv.org/abs/1712.03088
quantum-journal.org/papers/q-2019-…
arxiv.org/abs/1712.03088
Proud to share my first paper in collaboration with J. Borregaard and @jenseisert. We provide a variational quantum algorithm for the optimization of noisy quantum multi-parameter estimation. scirate.com/arxiv/2006.063…
This work provides a new application of quantum technologies (both computers and other platforms) to optimize the next generation of quantum metrology devices. This mindset was recently coined as "quantum-computer aided design" by @A_Aspuru_Guzik et al.
See below for a summary of the paper 👇
