10th ETSI/IQC Quantum Safe Cryptography Conference

Date/Time: 14-May - 16-May
Venue: Catapult Rochester

ETSI and the Institute for Quantum Computing are pleased to announce the 10th ETSI/IQC Quantum Safe Cryptography Conference, taking place in Singapore on 14-16 May 2024. The event will be hosted by CQT.

We increasingly rely on cyber technologies, and hence are ever more vulnerable to cyber-attacks. As progress toward a cryptographically relevant quantum computer advances, these attack vectors grow and the imperative to prepare for a transition to quantum secure technologies continues to increase. In response, standardization efforts are accelerating; the initial NIST PQC standards are due in 2024, and ETSI working groups are active in evaluating these and how they will fit into existing protocols, applications and public-key infrastructures. Hence solutions are starting to become commercially available, best practices are being developed and shared, and the ability to transition in a secure and cost-effective way continues to increase. This is a continually evolving and complex journey and much remains to be understood and navigated.

This event was designed for members of the business, government, and research communities with a stake in cryptographic standardization to facilitate the knowledge exchange and collaboration required to transition cyber infrastructures and business practices to make them safe in an era with quantum computers. It aims to showcase both the most recent developments from industry and government and cutting-edge potential solutions coming out of the most recent research.

Website: https://www.etsi.org/events/2284-10th-etsi-iqc-quantum-safe-cryptography-event

Lunch Time Seminar Series by Steven Touzard

Title: Progress towards building a quantum network of superconducting circuits
Date/Time: 29-Apr, 12:30PM
Venue: CQT Level 3 Seminar Room, S15-03-15

Abstract:Our group was funded two years ago on the promise that we would entangle a superconducting qubit with telecom photons. Such entangled states are critical to create Quantum Networks, with applications in safe quantum computing, quantum communication and sensing. To this end, we have been investigating three research directions: coupling superconducting circuits to rare-earth ions, coupling optical resonators to rare-earth ions, and creating parametric amplifiers to efficiently retrieve quantum information from superconducting circuits. In this talk, we will give a broad overview of our project, as well as an update on the progress of these research directions.

CQT Colloquium by Daniel Lidar, University of Southern California

Title: Demonstration of algorithmic quantum speedup
Date/Time: 16-May, 04:00PM
Venue: CQT Level 3 Seminar Room

Abstract:Despite the development of increasingly capable quantum computers, an experimental demonstration of an algorithmic quantum speedup employing today's non-fault-tolerant devices has remained elusive. In this talk, I will report on three very recent demonstrations of such a speedup, focusing on how solution times scale with problem size. Two of the demonstrations use IBM’s superconducting quantum computers and involve modified versions of foundational black-box quantum algorithms. In contrast with recent quantum supremacy demonstrations, these quantum speedups do not rely on complexity-theoretic conjectures. The third demonstration uses a D-Wave quantum annealer and involves approximate optimization in the context of spin glass problems. In all cases, our work incorporates tailored quantum error suppression methods, which we found to be necessary in order for the quantum speedup to appear. References: - B. Pokharel and D.A. Lidar, “Demonstration of algorithmic quantum speedup”. Phys. Rev. Lett. 130, 210602 (2023) - P. Singkanipa, V. Kasatkin, Z. Zhou, G. Quiroz, D.A. Lidar, “Demonstration of algorithmic quantum speedup for an Abelian hidden subgroup problem”. arXiv:2401.07934 - H. Munoz Bauza and D. A. Lidar, “Scaling advantage in approximate optimization with quantum annealing”. arXiv:2401.07184

QCamp

Date/Time: 10-Jun - 14-Jun
Venue: CQT Level 3 Seminar Room S15-03-15

QCamp is a one-week summer school for curious pre-university students who wish to explore and understand the physical laws that govern the world's smallest scales: quantum physics. The scope of QCamp is to provide vivid demonstrations of these laws, offer career advice, as well as to help students build a technical foundation for independent exploration of this world. QCamp is organised by the Centre for Quantum Technologies (CQT) at the National University of Singapore.

Website: https://qcamp.quantumlah.org/

1-day flash QCamp

Date/Time: 19-Jun - 19-Jun
Venue: LT 34

Since CQT’s five-day QCamp for pre-university students is typically oversubscribed, this year we are pleased to offer a separate one-day flash QCamp. The camp is for curious and inquisitive minds to get a taster in quantum technologies. It will feature talks, demos and career advice.

Website: https://qcamp.quantumlah.org/

CQT CS Talk by Seongwook Shin, Seoul National University

Title: Function classes generated by quantum machine learning models.
Date/Time: 24-Apr, 04:00PM
Venue: Online Via Zoom

Abstract:Quantum computers show an advantage over their classical counterparts in some problems. Does this hold for learning problems as well? To approach this big question, we delve into the exploration of function classes that efficient quantum circuits can generate. We focus on the variational quantum machine learning (VQML) models utilizing classical data and examine the properties of variational functions derived from them. We will see that an efficient quantum circuit can generate exponentially large dimensional function space but with constrained coefficients. Utilizing the tensor network formalism we rephrase the VQML models as matrix product state (MPS) machine learning models, allowing us to identify the nature of the coefficients, feature map, and possible dequantizing models. Our perspective on VQML models provides a dictionary correlating operator-level language to functional-analysis language and hints at the important role of entanglement in the coefficients of linear models.

Zoom link: https://nus-sg.zoom.us/j/85687992658?pwd=NTRTc0RiT3d4Z1pTMzA4QXhYRTJ1Zz09