Rudy Raymond

Overview

Rudy Raymond

Title

Quantum Computing

Location

IBM Research - Tokyo Tokyo, Japan

Bio

Senior Researcher at IBM Quantum, IBM Research.

Specially Appointed Professor at Dept. of Computer Science, The University of Tokyo.

Project researcher at Keio Univ. Quantum Computing Center.

Lecturer (part-time) of Introduction to Quantum Computing at the University of Tokyo since 2019.

Distinguished Program Committe member of IJCAI 2019, Technical PC member of ASPDAC 2020, PC member of AAAI 2019, reviewer of NeurIPS 2018, and many others AI/Machine Learning conferences, PC member of QTML 2019.  

Skills in Algorithms, Data Mining, and Optimization with 75+ scientific papers published in prestigious international conferences and journals (with 1600+ citations according to Google Scholar), and 40+ patents. Working experiences in various fields of industries, such as, automotives, telecommunications, finance, energy and smarter cities by applying data analytics and optimization technologies.

Graduated from Taruna Nusantara Senior High School, Magelang, Indonesia (one of the best senior high schools in Indonesia)


Talks

  • “Recent Techniques in Variational Quantum Algorithms: Decision Diagrams for Quantum Measurements and Quantum Relaxations for Combinatorial Optimization”, Dept. of Communications and Computer Engineering, Graduate School of Informatics, Kyoto University, May 13, 2022, Japan

  • “Precise Estimates of Quantum Observables with Shallow Circuits”, Graduate School of Information Science and Technology, The University of Tokyo, March 9, 2022, Japan.

  • “New Techniques in Variational Quantum Algorithms and Their Applications: Designing Parameterized Quantum Circuits for Machine Learning”, Tutorial at the 27th Asia and South Pacific Design Automation Conference, ASP-DAC 2022, Jan. 17-20, 2022

  • “Quantum Computing for Optimization, Simulation and Machine Learning”, SEMI Advanced Semiconductor Technology Conference, Jan. 22, 2021, Singapore. https://www.semi.org/en/astc2021-speaker-rudy-raymond-ibm

  • “Measurements of Quantum Hamiltonians with Locally-Biased Classical Shadows”, 2021 YITP Workshop on Quantum Computing for Quantum Field Theory, Jan. 7, 2021. https://www2.yukawa.kyoto-u.ac.jp/~qc-qft/index.php

  • “Efficient Discrete-Feature Encoding with Quantum Bits”, 2020 KAIST Symposium on Quantum Machine Learning, Dec. 16, 2020

  • Panelist at Institute of International Finance, Quantum Computing in Financial Services Webinar, Dec. 2, 2020. https://www.iif.com/Events/RSVP-Event?meetingid={20D15ABC-F625-EB11-80ED-000D3A0EE828}

  • “Quantum computing for Finance: state of the art and future prospects”, Quantum Computing: Finance, QEP Workshop, Nov. 19, 2020 [online]

  • “Efficient Discrete Feature Encoding for Variational Quantum Classifiers”, Robust Quantum Computers: Challenges, Solutions, and Future Directions, Special Session of 2020 International Conference on Computer Aided Design (ICCAD), Nov. 4, 2020. https://iccad.com/event_details?id=305-11-D

  • “Quantum Algorithms and Applications for Finance (in Japanese)”, Information Processing Society Japan Special Interest Group on Quantum Software (IPSJ SIGQS), Oct. 15, 2020 https://sigqs.ipsj.or.jp/%E9%87%8F%E5%AD%90%E3%82%BD%E3%83%95%E3%83%88%E3%82%A6%E3%82%A7%E3%82%A2%E7%A0%94%E7%A9%B6%E4%BC%9A-%E7%99%BA%E8%B6%B3%E8%A8%98%E5%BF%B5%E8%AC%9B%E6%BC%94%E4%BC%9A/

  • “Quantum Information and Computing with Near-term Quantum Devices”, Industry-UCB-UEC-Keio Workshop, Keio University, Nov. 10-11, 2019

  • “Distributed Average Computation with Near-term Quantum Devices for Collaborative Learning”, Workshop on Quantum Cryptography, Computing, and Post-Quantum Cryptography, Kyushu University, Nov. 6, 2019

  • “Distributed Computation with NISQ devices”, Quantum Techniques in Machine Learning 2019, October 24, 2019, Daejeung, Korea, https://www.quantummachinelearning.org/qtml2019.html

  • “Quantum machine learning and algorithms”, Qiskit Camp at CQT, NUS, Singapore, October 11, 2019, http://qiskithackathonsg.eventbrite.sg

  • “Quantum Circuit Transformation and Compiler in Qiskit”, EDA Workshop on Emerging Computing System, August 26, 2019, ASP-DAC 2020 TPC Meeting, http://workshop.iis.sinica.edu.tw/aspdac_tpc_20/index.html

  • “Optimization using Qiskit”, IBM-KAIST  Workshop on Commercialization of Quantum Computing for Business Innovation, August 22, 2019, Seoul, Korea

  • “Computation with NISQ devices using Qiskit”, Workshop on Quantum Protocols, August 9, 2019, Waseda University, Tokyo, Japan.

  • “The Latest Trends in Quantum Computing (in Japanese)”, Annual Meeting of Association of Information Education Society, July 20, 2019, Tokyo, Japan

    http://di-council.sakura.ne.jp/minutes/2019.html

  • “Introduction to Qiskit for Machine Learning and Optimization”, IBM Qiskit Workshop with Petronas Research, May 31, 2019, Malaysia

  • “Quantum Chemistry and Machine Learning with Qiskit”, SGInnovate: Quantum Meetup in Singapore, May 28, 2019, Singapore, https://www.sginnovate.com/events/quantum-chemistry-and-machine-learning-qiskit

  •  “Qiskit Overview and Use Cases for AI and Machine Learning”, IBM/NRF Workshop on IBM Q at NUS, May 28, 2019, Singapore

  • 'Introduction to Qiskit', NTU - IBM Q Initial Workshop at National Taiwan University, Jan. 16, 2019, NTU, Taipei, Taiwan.

  • 'Quantum Learning Theory through Oracle Identification Problem and Its Applications', The 2nd KAIST Mini Symposium on Quantum Machine Learning, Nov. 23, 2018, KAIST, Daejeung, Korea. 

  • 'Programming IBM Superconducting Qubits with Qiskit', KIAS 2018 Workshop on Superconducting Quantum Information, Nov. 18, 2018, Seoul, Korea.

  • 'Map Matching with Hidden Markov Model', NII Seminar, Tokyo, July 19, 2016

  • 'Introduction to Mathematical Optimization Methods and Applications at IBM Research - Tokyo', Kyoto University Informatics Seminar, April 25, 2016.

  • “Quantum Query Complexity and Coin Problems”. Centre for Quantum Technologies. Workshop on Quantum Algorithms & Complexity Theory (WQACT 2008). National University of Singapore (NUS), November 17--21, 2008.

  • “Quantum Query Complexity of Boolean Functions with Small On-Set”. JST-CNRS Quantum Computation: Theory and Feasibility. Joint workshop in Paris, France. Institut Henri Poincare, September 25--26, 2008.

  • “Quantum Random Access Coding with Multiple Qubits”. Workshop on Theory of Quantum Computation, Communication and Cryptography (TQC 2007). Nara Institute of Science and Technology, Nara, Japan. January 24, 2007.

  • “Characterizing the Existence of Quantum One-Way Permutations”. McGill University, Montreal, Canada. October 9, 2003.

  • “Quantum Query Complexity of Biased Oracles”. Kyoto University Inter-Department Symposium (KIDS), Kyoto, Japan. June 26, 2003.


Ph. D Thesis

'Studies on Quantum Query Complexities and Quantum Network Coding', Kyoto University, March 2006.