June 2023 - Qse-grad-students

QML Journal Club -- June 21 2:30 PM, Jiaqi Leng (University of Maryland, College Park)

by Wang, Iria

Hi everyone, This summer, we will be hosting a biweekly Quantum Machine Learning (QML) journal club. The second meeting is this Wednesday (June 21th) at 2:30 PM, with invited speaker Jiaqi Leng (University of Maryland, College Park). Hope to see you there! Best, Iria Wang, Rodrigo Araiza Bravo, Andi Gu, Hong-Ye Hu, Christoph Gorgulla -- *QML Journal Club* *Wednesday, June 7th* *2:30 PM in LISE 303* *Zoom: * https://harvard.zoom.us/j/92778541116?pwd=SUk1RWRkcE9jdUczQy9DcDdIaXM0QT09 (password: 750575) *Jiaqi Leng, *Doctoral Student @ University of Maryland, College Park *Quantum Hamiltonian Descent* *Abstract:* Gradient descent is a fundamental algorithm in both theory and practice for continuous optimization. Identifying its quantum counterpart would be appealing to both theoretical and practical quantum applications. A conventional approach to quantum speedups in optimization relies on the quantum acceleration of intermediate steps of classical algorithms, while keeping the overall algorithmic trajectory and solution quality unchanged. We propose Quantum Hamiltonian Descent (QHD), which is derived from the path integral of dynamical systems referring to the continuous-time limit of classical gradient descent algorithms, as a truly quantum counterpart of classical gradient methods where the contribution from classically-prohibited trajectories can significantly boost QHD's performance for non-convex optimization. Moreover, QHD is described as a Hamiltonian evolution efficiently simulatable on both digital and analog quantum computers. By embedding the dynamics of QHD into the evolution of the so-called Quantum Ising Machine (including D-Wave and others), we empirically observe that the D-Wave-implemented QHD outperforms a selection of state-of-the-art gradient-based classical solvers and the standard quantum adiabatic algorithm, based on the time-to-solution metric, on non-convex constrained quadratic programming instances up to 75 dimensions. Finally, we propose a “three-phase picture” to explain the behavior of QHD, especially its difference from the quantum adiabatic algorithm. *Bio:* Jiaqi Leng is a fourth-year doctoral student in applied mathematics at the University of Maryland, College Park. He is also affiliated to the Joint Center for Quantum Information and Computer Science (QuICS) at Maryland. Jiaqi aims to leverage quantum computers to solve problems in scientific computing and machine learning that are intractable for classical computers. In particular, he tries to connect real-life computational tasks to quantum devices by providing end-to-end demonstrations of novel algorithmic designs. Jiaqi is advised by Dr. Xiaodi Wu.

10 months, 3 weeks

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Quantum Machine Learning Journal Club -- June 7 2:30 PM, Sona Najafi, IBM

by Wang, Iria

Hi everyone, This summer, we will be hosting a biweekly Quantum Machine Learning (QML) journal club. The first meeting is this Wednesday (June 7th) at 2:30 PM, with invited speaker Sona Najafi from IBM. Hope to see you there! Best, Iria Wang, Rodrigo Araiza Bravo, Andi Gu, Hong-Ye Hu -- *QML Journal Club* *Wednesday, June 7th* *2:30 PM in LISE 303* *Zoom: * https://harvard.zoom.us/j/92778541116?pwd=SUk1RWRkcE9jdUczQy9DcDdIaXM0QT09 (password: 750575) *Sona Najafi*, Scientific Researcher at IBM *Overview of QML* Quantum machine learning has become one of the most progressing fields of quantum technology with applications in quantum optimization, quantum chemistry as well as quantum simulation. In this talk first I will review three distinct domains of quantum machine learning. Consequently, I will introduce novel quantum generative/variational algorithms based on quantum many-body localized (MBL) dynamics and show that it is capable of learning a toy dataset consisting of patterns of MNIST handwritten digits, quantum data obtained from quantum many-body states, and non-local parity data. I will theoretically prove that the MBL generative model possesses more expressive power than classical models, and the introduction of hidden units boosts its learning power. Finally, I will discuss quantum neuromorphic computing that capitalizes on inherent system dynamics and introduce the universal quantum perceptron (QP) based on interacting qubits with tunable coupling constants. By adding tunable single-qubit rotations to the QP, I will demonstrate that a QP can realize universal quantum computation, which contrasts sharply with the limited computational complexity of a single classical perceptron.

11 months

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Lunch with HQI summer undergrad research fellows

by Sule, Nishant V.

Dear all, As you might be aware, HQI has an undergraduate summer research fellowship which is now underway for this summer. As part of this program, we have organized weekly lunches for the undergrads to get together, share their work, meet the wider HQI community, and engage in some professional development discussions. As a core part of the HQI community, I wanted to invite you all to join their lunch program on June 28th (see full schedule below). My one request is that you present your research to these undergrads (mostly juniors and seniors) in no more than two slides or three minutes. This would be a nice opportunity to practice talking about the "big picture" of your research while also giving some technical details that are understandable to a broader audience. I am also looking for 1 or 2 volunteers to participate in another one of their lunch programs on July 19th. This program will be a panel discussion on graduate school applications and the volunteers would be part of the panel. The discussion is intended to help these undergrads understand the grad school application process and get some tips from successful students and faculty. The other panelists are me and Julia Mundy. Please send me a note (email or Slack whichever works better) if you are interested to be on the panel. Lastly, I also want to invite you all to the poster session on Aug. 2nd that concludes this program. The undergrads will be presenting their work over the summer and I am sure it will be of interest to all of you. The lunches are at 12pm in LISE 303. I will send another email with the details of the time and location for the poster session closer to its date. Best, Nishant Date Lunch Program Notes June 14th Research advisors (faculty) Student's faculty advisors are invited to join June 21st Grad-student/postdoc mentor from lab Student's lab mentors (grad-student or postdoc) are invited to join. The mentors are encouraged to give a short 1-2 slide intro to their lab's work. June 28th QSE grad students All the QSE grad students are invited to join. QSE students will give a brief overview of their research projects. July 5th HQI Directors (tentative) HQI co-directors will join (pending availability) and discuss the vision for HQI July 12th Communicating your research (oral – poster/presentation) Discussion and tips on communicating research through slides and posters (Nishant) July 19th Panel on grad school applications A panel consisting of a couple of current QSE grad students, Nishant, and Julia Mundy will take any questions the students might have on grad school applications July 26th Communicating your research (written – paper/report/proposal) Discussion and tips on communicating research through articles, abstracts, reports etc. (Nishant) Aug 2nd Research advisors (all) followed by poster session Student's research advisors (both faculty advisor and lab mentors) are invited to join. Lunch will be followed by the poster session. P.S. I don’t have scheduled office hours during summer, but if you have any question or need my input on anything, the quickest way to reach me is Slack. Don’t hesitate.

11 months, 1 week

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[Harvard-quantum-initiative] FW: Workshop on Quantum Thermodynamics @ MIT (6/12-13)

by Harvard Quantum Initiative

Please see below the announcement of a workshop that may be of interest to the HQI community. Workshop on non-equilibrium quantum thermodynamics: Stochastic models and experimental platforms June 12-13th, 2023 – MIT 36-428 – http://qthermo.mit.edu/<https://urldefense.proofpoint.com/v2/url?u=http-3A__qthermo.mit.edu_&d=DwMF…> We are organizing a workshop on quantum thermodynamics as a part of a collaborative project<https://urldefense.proofpoint.com/v2/url?u=http-3A__qthermo.mit.edu_project…> between MIT and SISSA, supported by the Friuli-Venezia Giulia Region and the MIT-MISTI program. The goal of this workshop is to bring together experts from both the theoretical and experimental sides to discuss promising directions for the field, including theoretical protocols to identify the probability profile of energy-change fluctuations along individual quantum trajectories and the challenges to probe non-equilibrium thermodynamics in a wide range of existing experimental platforms, such as spin defects, ions, superconducting circuits, levitated nanospheres, and more. For more information and list of speakers, please see: http://qthermo.mit.edu/<https://urldefense.proofpoint.com/v2/url?u=http-3A__qthermo.mit.edu_&d=DwMF…> Please register online (for free!) especially if you plan to attend in person, so we can get enough coffee! We hope to see you on campus! Paola Cappellaro, Stefano Gherardini, Stefano Ruffo, Andrea Trombettoni -- Paola Cappellaro Ford Professor of Engineering Professor of Physics Massachusetts Institute of Technology http://qeg.mit.edu/<https://urldefense.proofpoint.com/v2/url?u=http-3A__qeg.mit.edu_&d=DwMFaQ&c…> Quantum Engineering Group _______________________________________________ Harvard-quantum-initiative mailing list -- harvard-quantum-initiative(a)lists.fas.harvard.edu To unsubscribe send an email to harvard-quantum-initiative-leave(a)lists.fas.harvard.edu

11 months, 1 week

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Qse-grad-students June 2023