Daochen Wang · 王 道辰
[last initial] [first name] at gmail dot com
I'm a second-year PhD student at QuICS,
where I research quantum information and computation. I'm fortunate to be co-advised by
Andrew Childs and
Prior to Maryland, I worked as one of the first two employees of
a British quantum computing startup. I graduated in June 2016 with an
I'm interested in structures beneath quantum speed-ups, algorithm design, and real-world applications.
I currently research speed limits on how fast quantum computers
can solve a problem given only the symmetries of that problem.
(*: equal contribution)
1. Efficient quantum measurement of Pauli operators
Ophelia Crawford*, Barnaby van Straaten*, Daochen Wang*,
Thomas Parks, Earl Campbell, Stephen Brierley
arXiv preprint, August 2019
The number of measurements needed to estimate the average value of an observable can be reduced by
a few orders of magnitude via simultaneous measurements - when done in the right way.
2. Simulating quantum circuits by classical circuits
arXiv preprint, July 2019
I extract a notion of "p-simulation" from
a breakthrough paper in 2018
and then construct explicit classical circuits that can p-simulate any quantum circuit.
3. Variational quantum computation of excited states
Oscar Higgott, Daochen Wang, Stephen Brierley
Quantum, July 2019
Penalising overlaps between quantum states
variational quantum eigensolver to compute excited states at essentially no extra cost.
4. Accelerated variational quantum eigensolver
Daochen Wang, Oscar Higgott, Stephen Brierley
Physical Review Letters, April 2019
Given greater coherence times, the
variational quantum eigensolver can be made faster by making it
behave more like
quantum phase estimation.
5. Driving Rabi oscillations at the giant dipole resonance in xenon
Stefan Pabst, Daochen Wang, Robin Santra
Physical Review A, November 2015
Super-short yet super-intense pulses of light can drive electrons up and down between standard bound states
of negative energy and a pseudo-bound state of positive energy.
1. OpenFermion: the electronic structure package for quantum computers
Jarrod R. McClean, Kevin J. Sung, Ian D. Kivlichan, Yudong Cao, Chengyu Dai, E. Schuyler Fried,
Craig Gidney, Brendan Gimby, Pranav Gokhale, Thomas Häner, Tarini Hardikar, Vojtěch Havlíček,
Oscar Higgott, Cupjin Huang, Josh Izaac, Zhang Jiang, Xinle Liu, Sam McArdle, Matthew Neeley,
Thomas O'Brien, Bryan O'Gorman, Isil Ozfidan, Maxwell D. Radin, Jhonathan Romero, Nicholas Rubin,
Nicolas P. D. Sawaya, Kanav Setia, Sukin Sim, Damian S. Steiger, Mark Steudtner, Qiming Sun, Wei Sun,
Daochen Wang, Fang Zhang, Ryan Babbush
arXiv preprint, February 2019
I contributed code that allows you to automatically retrieve molecular geometries from the
PubChem database - try: geometry_from_pubchem('water'), you can thank me later.