Quantar Lab

Exploring the exciting world of quantum computing at Tohoku University. #QuantumComputing #QuantumAlgorithms #QuantumPhysics #QuantumMeasurement

[Phys.org @physorg_com]

#Quantum sensor networks, optimized through advanced quantum techniques, significantly enhance the detection of faint #DarkMatter signals, paving the way for breakthroughs in precision measurement technologies. @tohoku_univ @PhysRevD https://t.co/CLdJviQioK https://t.co/2rrOs858Vt

[Tohoku University @TohokuUniPR]

Researchers at Tohoku University have taken a major step forward in the global hunt for detecting dark matter by designing a new type of quantum sensor network. #TohokuUniversity #DarkMatter #Quantum
https://t.co/57jkT3nErd

[Quantar Lab @TohokuQuantum]

Optimized quantum sensor networks for ultralight dark matter detection https://t.co/XmNypI3dFw

[Tohoku University @TohokuUniPR]

Quantum computers are able to solve complex calculations that would take traditional computers thousands of years in just a few minutes. What if that analytical power is turned inwards towards the computer itself? #Entanglement #Quantum #TohokuUniversity
https://t.co/nh64SlomYa

[Physical Review Research @PhysRevResearch]

Detecting and protecting entanglement through nonlocality, variational entanglement witness, and nonlocal measurements, Haruki Matsunaga and Le Bin Ho @TohokuQuantum #Quantum #QuantumInformation https://t.co/PMY036WF4r

[Quantar Lab @TohokuQuantum]

Our latest research is now published in Physical Review Research! We introduce a variational entanglement witness (VEW) that improves entanglement detection beyond the CHSH inequality while preserving quantum states.
https://t.co/fZtwDkz3PA

[Tohoku University @TohokuUniPR]

Quantum compilation usually occurs one target at a time. But a new algorithm allows quantum computers to optimize multiple targets at once. #QuantumComputing #SuperComputer #TohokuUniversity
https://t.co/ILJr0CTnjm

[Quantar Lab @TohokuQuantum]

Check out our published version of Multi-target quantum compilation algorithm https://t.co/7k9nJNMKCl via @MLSTjournal

[Quantar Lab @TohokuQuantum]

Multi-target quantum compilation algorithm https://t.co/7k9nJNMKCl via @MLSTjournal

[Tohoku University @TohokuUniPR]

Tohoku University’s Dr. Le Bin Ho has explored how quantum squeezing can improve measurement precision in complex quantum systems, with potential applications in quantum sensing, imaging, and radar technologies. #QuantumSqueezing #TohokuUniversity
https://t.co/maZ1QKd9BL

[Quantar Lab @TohokuQuantum]

Phys. Rev. Research 6, 033292 (2024) - Squeezing-induced quantum-enhanced multiphase estimation https://t.co/Lhf6KDQi2s

[Quantar Lab @TohokuQuantum]

〈qo|op〉: A quantum object optimizer https://t.co/5wXkVEzl3c

[Quantar Lab @TohokuQuantum]

https://t.co/VkFPy5HI4H

[Quantar Lab @TohokuQuantum]

Our book chapter is available here: https://t.co/dMsJJHbaRG

[Quantar Lab @TohokuQuantum]

Variational quantum metrology for multiparameter estimation under dephasing noise https://t.co/GRSajrEsRD

[Quantar Lab @TohokuQuantum]

Exploring parameter shift for quantum Fisher information https://t.co/QFGTDaQxkv via @physorg_com

[Tohoku University @TohokuUniPR]

A Tohoku University researcher has unveiled a new technique in quantum computing that revolutionizes the estimation of gradients or derivatives of functions.
#quantumcomputing #innovation #tohokuuniversity
https://t.co/sIx7fir6xn

[Quantar Lab @TohokuQuantum]

Check out my accreditation from @IOPPublishing https://t.co/A0TDdm0AfR via @IOPPublishing

[Quantar Lab @TohokuQuantum]

Our work has been published recently: https://t.co/dDwfHvkk2m

[Quantiki @quantiki]

The 19th Conference on the Theory of Quantum Computation, Communication, and Cryptography (TQC 2024) https://t.co/mwMCr6P0T9