Maria Kieferova

Quantum computing scientist - Senior Lecturer and an SQA Fellow at UTS - Google Quantum AI - she/her

Maria (Marika) Kieferova

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Teaching

I teach UTS 41076 Methods in Quantum Computing - Spring 2023. All information about the class can be found here.

News

  • It is a great honour to be invited to QIP 2022 to deliver a tutorial on quantum machine learning on March 6th at Caltech.

  • Come to say hi at Quantum Australia 2022 on February 23-25. I’ll be on a panel talking about quantum software on 23th and talking to participants about the exciting work we do at UTS QSI and Google Quantum AI throughout the conference.

  • Excited to speak at QHack 2022 on February 15th.

  • It was my pleasure to speak at IPAM workshop on January 27, 2022.

  • I am serving on the program committee for QCTIP 2022. We have so many fantastic submissions to choose from! QCTIP will take place in Bristol, April 11-13, 2022.

  • I am attending a KITP workshop in Santa Barbara from January 17 until February 19th 2022. Excited to see people face to face again!

  • Ďakujem mojím Slovenským a Českým kolegom za pozvanie an Trojkráľovú konferenciu 5teho Januára 2022.

  • 23/11/2021 I joined Google Quantum AI as a 20% member based in Sydney. I’ll continue working at UTS as 80% FTE.

  • 23/09/2021 I will discuss studying quantum in Sydney at an SQA online event.

  • 23/09/2021 Wondering how what impact will have quantum computing on insurance? Join me at a discussion on October 7th with Insuretech.

  • 20/09/2021 Thank you Engineers Australia for the opportunity to speak at your panel.

  • 06/08/2021 I will be re-joining UTS as a faculty member in a Lecturer role (equivalent to Assistant professor) on a continuing basis.

  • 28/07/2021 I will be on a panel Quantum & Insurance panel in October.

  • 28/07/2102 I will be on a panel at Quantum Australia 2021.

  • 28/07/2021 I gave a high-level talk about quantum computing to Australian Astronomical Optics.

  • 18/06/2021 Looking forward to talking to my neighbours at the University of Sydney on June 24th.

  • 1/06/2021 I will also reprise my role as a PC member at QIP.

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Interests

Quantum algorithms
Quantum chemistry
Quantum machine learning
Hamiltonian simulations

Publications

Quantum Generative Training Using Rényi Divergences

Maria Kieferova, Carlos Ortiz Marrero, Nathan Wiebe

Randomizing multi-product formulas for improved Hamiltonian simulation

Paul K Faehrmann, Mark Steudtner, Richard Kueng, Maria Kieferova, Jens Eisert

Entanglement induced barren plateaus

Carlos Ortiz Marrero, Mária Kieferová, Nathan Wiebe

Novel Technique for Robust Optimal Algorithmic Cooling

Sadegh Raeisi, Mária Kieferová, Michele Mosca

Quantum Chemistry in the Age of Quantum Computing

Yudong Cao, Jonathan Romero, Jonathan P Olson, Matthias Degroote, Peter D Johnson, Mária Kieferová, Ian D Kivlichan, Tim Menke, Borja Peropadre, Nicolas PD Sawaya, Sukin Sim, Libor Veis, Alán Aspuru-Guzik

Simulating the dynamics of time-dependent Hamiltonians with a truncated Dyson series

Maria Kieferova, Artur Scherer, Dominic Berry

Improved techniques for preparing eigenstates of fermionic Hamiltonians

Dominic W Berry, Mária Kieferová, Artur Scherer, Yuval R Sanders, Guang Hao Low, Nathan Wiebe, Craig Gidney, Ryan Babbush

Tomography and generative training with quantum Boltzmann machines

Mária Kieferová, Nathan Wiebe

On the power of coherently controlled quantum adiabatic evolutions

Mária Kieferová, Nathan Wiebe

Quantum speedup by quantum annealing

Rolando D Somma, Daniel Nagaj, Mária Kieferová

Quantum walks on necklaces and mixing

Maria Kieferova, Daniel Nagaj

Education

TalkS, notes and other materials

  • Talk about quantum algorithms and in my time in academia for Women in Quantum.

  • Poster about Entanglement Induced Barren Plateaus, presented at QIP 2021 conference and CQC2T 2021 workshop.

  • An edited version of the talk I gave at CQC2T 2020 meeting.

  • A talk at CEBIT Australia about applications of quantum computing. (slides)

  • My presentation about Heath Bath Algorithmic Cooling. (slides) (poster)

  • PhD thesis titled “Quantum Algorithmic Techniques for Fault-Tolerant Quantum Computers”. (thesis) (slides)

  • My presentation about improving techniques for eigenstate preparation and Hamiltonian simulation. (slides)

  • TQC 2018 talk about Quantum Boltzmann Machines. (slides)

  • Suppressing errors in adiabatic state preparation. (poster) (slides)