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Week 1

Monday 2th June

10:30am -11:30 ET  [time zone converter]

Welcome & Orientation

Join us for the Orientation Session as we kick off 8 weeks of groundbreaking learning, discovery, and collaboration.

  • Get an overview of the program structure

  • Meet the WISER & Womanium team and fellow participants

  • Learn how to navigate lectures, tutorials, and projects

  • Hear what to expect from speakers and more

This session will set the stage for your journey into quantum computing, and algorithms for differential equations.

Wednesday 4th June

10:30am -12:30 ET  [time zone converter]

Session

Foundations of Quantum Computing

Dr. Jibran Rashid - QWorld

Get grounded in the fundamentals of quantum computing across these two beginner-friendly sessions. We’ll introduce the mathematical foundations (state spaces, tensors, and computational complexity), core quantum operations (gates, circuits, measurement), and essential principles like superposition, entanglement, and the no-cloning theorem. You'll also explore basic programming concepts to understand how quantum algorithms are structured. These sessions are ideal for newcomers or anyone looking to refresh their foundations.

Week 2

Monday 9th June

10:30am -12:00 ET  [time zone converter]

Why quantum algorithms matter now

Keynote

10:300 - 11:00 | Dr Travis Scholten - IBM

This session explores why quantum algorithms are critical today, how IBM is working to bring useful QC to the world and what this means for researchers, developers, and industries preparing for a quantum future.

Quantum Teleportation and Grover's algorithm Speaker

11:00 - 12:00 | Dr Rumlah Amer - QWorld

Bootcamp

This session explores how quantum teleportation enables the transfer of quantum states without moving particles, and how Grover’s algorithm offers a powerful way to speed up search problems.

Wednesday 11th June

An Introduction to Quantum Fourier Transform and Phase Estimation

Join this hands-on session to explore the Hadamard test, Quantum Phase Estimation (QPE), and the Quantum Fourier Transform (QFT). You’ll get a practical tutorial using Qiskit or Cirq, and learn how QPE could power real-world breakthroughs like drug discovery and factoring with Shor’s Algorithm.

10:30am -12:00 ET  [time zone converter]

Jerimiah Wright - Womanium

Bootcamp

Friday, 13th June

Getting Started with Pennylane 

This session offers a practical introduction to PennyLane, a leading software library for quantum computing and machine learning. We’ll cover how to build and run quantum circuits, set up a basic environment, and explore simple examples to get you familiar with the interface. Whether you're new to PennyLane or looking for a quick refresher, this session will help you get comfortable programming with PennyLane. 

10:30am -11:30 ET  [time zone converter]

Dr. Ben Lau - Xanadu 

Bootcamp

Week 3

Monday 16th June

10:30am -12:00 ET  [time zone converter]

Project Orientation (part 1)

Session

Dr. Vardaan Sahgal - WISER, Dr. Brian McDermott - NNL, and Dr. Abhishek Chopra- BQP

High-level introduction to the industry projects for the participants from our partners. Participants will learn how the skills they learn this summer will be applied directly to industry applications by the completion of the training program. After the training, all participants will move on to participate in these industry projects, and the best teams will proceed to win QSL fellowships for the next 6 months.

Wednesday 18th June

Project Orientation (part 2)

High-level introduction to the industry projects for the participants from our partners. Participants will learn how the skills they learn this summer will be applied directly to industry applications by the completion of the training program. After the training, all participants will move on to participate in these industry projects, and the best teams will proceed to win QSL fellowships for the next 6 months.

10:00am -12:00 ET  [time zone converter]

10:00 - 10:30 | Dr. Bimal Mehta - Vanguard

Session

Comparing Functional Quantum Linear Solvers

10:30 - 12:00 | Andreea-Iulia Lefterovici - Leibniz Universität Hannover

Session

This session introduces a hybrid benchmarking study of quantum linear solvers, comparing exact query complexity across HHL, QLS-Fourier, QLS-Chebyshev, and QLS-QSVT on both synthetic and real-world instances, revealing when Chebyshev-based methods outperform others, and why HHL may no longer be reasonable in practice.

Week 4

Monday 23rd June

09:30am -11:00 ET  [time zone converter]

Solving Partial Differential Equations on Quantum Computers

Session

Dr. Nana Liu - Shanghai Jiao Tong University 

Many natural and engineered systems — from quantum mechanics to fluid dynamics — are governed by partial differential equations (PDEs). Efficiently solving these equations is central to scientific discovery and technological progress. In this tutorial, we’ll explore various quantum algorithmic approaches to solving PDEs, and discuss how these techniques could offer advantages over classical methods.

Lecture

Fireside Chat

Wednesday 25th June

10:30am -12:00 ET  [time zone converter]

Elevate Region: Quantum Entrepreneurship in Focus

10:30 - 11:30 | Wendy  Lea  - Elevate Quantum,  Dr. Sristy  Agrawal - Mesa Quantum, and Dr. Fateme Mahdikhany - Icarus Quantum

This fireside chat will spotlight the thriving quantum entrepreneurship ecosystem in the Elevate region. We’ll explore the unique challenges and opportunities quantum startups face, from early-stage research to bringing technologies to market. Join us for a conversation with key players in the quantum space as they share insights on how they’ve navigated the entrepreneurial journey, fostered innovation, and contributed to the growing quantum landscape. Whether you’re an aspiring entrepreneur or simply curious about the business side of quantum, this session offers valuable perspectives on how quantum startups are shaping the future

Quantum Networking: using single photons to link trapped ion quantum computers 

Lab Tour

Step inside the Ion-Photon lab, where they research how to scale up trapped ion quantum computers using single photons!

In order for quantum computers to successfully tackle hard problems, they need hundreds of thousands, or even millions, of qubits. Trapped ion quantum computers typically trap long chains of ions (each ion represents a qubit), but if you continue to add ions to the chain, it becomes more difficult to individually control the ions. In this lab tour you'll learn how they are adopting a modular approach in which they connect smaller trapped ion modules, or "nodes", via photonic interconnects. The single photons act as information links between the modules, enabling remote entanglement of spatially separated ions. 

11:30 - 12:00 | Isabella Goetting - Duke Quantum Center (DQC)

Dr. Guilermo Alonso-Linaje - Xanadu    

Friday 27th June

10:30am -11:30 ET  [time zone converter]

Bootcamp

The Art of Block Encoding

This session unpacks two powerful techniques at the heart of many modern quantum algorithms — Linear Combination of Unitaries (LCU) and block encoding. We’ll walk through how these methods let us represent complex matrix operations with efficient quantum circuits, and how they’re used in areas like Hamiltonian simulation and solving linear systems. Whether you're seeing these tools for the first time or need a refresher, this tutorial-style session will get you hands-on with the core ideas.     

Week 5

Monday 30th June

10:30am -11:30 ET  [time zone converter]

Bootcamp

Quantum Simulation and Lie Theory

Dr. Korbinian Kottmann - Xanadu    

Lie algebras offer a powerful and elegant lens for understanding quantum systems. Long central to high-energy and condensed matter physics, they’re now becoming increasingly relevant in quantum computing. In this tutorial, we’ll introduce core Lie-theoretic ideas behind recent advances in quantum simulation, including shadow and fixed-depth Hamiltonian simulation techniques. Whether you’re curious about the theory or looking for new algorithmic tools, this session offers a fresh perspective at the intersection of physics, math, and quantum computing.

Wednesday 2nd July

Quantum Advantage: Are Our Algorithms Ready?

This session offers an open conversation on the future of quantum algorithm development, with a focus on differential equations and scientific computing. The discussion will explore whether current quantum algorithms are sufficient to deliver practical advantages on large-scale quantum hardware, and how researchers should think about closing the gap between theoretical progress and real-world applications. Designed as an interactive dialogue, this session will bring together diverse perspectives on where the field is headed — and what it will take to get there.

10:30am -11:30 ET  [time zone converter]

10:30am - 11:30am | Prof. Andrew Childs - University of Maryland , Dr Herman Øie Kolden - Aviant, and Hari Krovi - IBM

Fireside Chat

Future of HPC, Quantum Computing, and AI

Keynote

11:30am - 12:00am | Dr. StefanKister - ParTech

This keynote examines the evolving relationship between quantum computing, high-performance computing (HPC), and artificial intelligence (AI), and how these technologies are increasingly working in tandem to tackle today’s most demanding computational challenges. Join us for a forward-looking discussion on the architectures, algorithms, and breakthroughs shaping the future of computational science.

Week 6

Monday 7th July

10:30am -12:00 ET  [time zone converter]

Efficient Quantum Access Models of Sparse Structured Matrices using Linear Combination of “Things”

Keynote

Dr. Amit Surana - RTX Technology Research Center

A deep dive into structure-aware quantum algorithm design, grounded in practical applications like the heat equation. This keynote introduces a new approach to applying quantum linear solvers that takes advantage of the structure and sparsity in PDE-derived matrices. A fresh look at how clever algorithm design can push quantum efficiency further.

Wednesday 9th July

Quantum Algorithms for Nonlinear Differential Equations

Nonlinear differential equations are everywhere — and solving them on quantum computers is no small feat. This session looks at how techniques like Carleman linearization and Koopman operator theory can help translate nonlinear problems into linear ones that quantum algorithms can handle. We’ll also dive into recent improvements that make these methods more practical, including higher-order solvers, smarter rescaling, and tighter error bounds.

Dr. Pedro Contino da Silva Costa - BQPhy

10:30am -11:30 ET  [time zone converter]

Bootcamp

Week 7

Monday 14th July

10:30am -12:00 ET  [time zone converter]

Variational Quantum Algorithms for Nonlinear Problems

Keynote

10:30- 11:30 | Dr. Michael Lubasch - Quantinuum

This keynote explores a different angle on tackling nonlinearity. By using multiple copies of quantum states and introducing Quantum Nonlinear Processing Units (QNPUs), the approach offers a flexible framework for solving nonlinear PDEs. With a blend of tensor networks, numerical benchmarks, and early hardware results, this talk highlights new possibilities for solving nonlinear problems on quantum devices.

Harnessing Quantum Computing for Weather Modeling

Keynote

11:30- 12:00 | Dr. Reuben Demirdjian - U.S. Naval Research Laboratory

Weather prediction requires modeling scales from the molecular up to the planetary, exceeding the capabilities of even the most powerful supercomputers to explicitly resolve all physical processes. This talk explores a potential approach for quantum computers to accelerate solutions of differential equations, which are fundamental for weather prediction. A novel method for efficiently loading classical data onto a quantum computer will be presented as a key step towards this goal.

Wednesday 16th July

10:30am -11:30 ET  [time zone converter]

Quantum algorithms for linear differential equations: near-optimal scaling and fast-forwarding

Simulating non-unitary dynamics is a central challenge in quantum algorithm design — and this session introduces a flexible and efficient approach that makes it more tractable. By expressing solutions as a linear combination of Hamiltonian simulations (LCHS), we can bypass the need for spectral mapping and complex quantum linear system solvers. The method keeps state preparation costs low, simplifies circuit construction, and scales well. A practical and powerful tool for those thinking ahead to early fault-tolerant quantum hardware.

Bootcamp

10:30 - 1:30 | Dr. Dong An - Peking University

Quantum Hardware Demystified

11:30 - 12:00 | Dr. Josh Mutus - Rigetti Computing

A beginner-friendly introduction to the fabrication of Rigetti's quantum processors, including visuals of cleanroom facilities and hardware assembly. This session explores key challenges - scalability, error rates, and material limits - and highlights how Rigetti is addressing them. It will conclude by connecting hardware advances to real-world gains in quantum algorithm performance.

Keynote

Friday 18th July

10:30am -11:30 ET  [time zone converter]

Keynote

Adaptive Interpolation for Tensor Networks

10:30 - 11:30 | Dr. Hessam Babaee - University of Pittsburgh

Week 8

Monday 21st July

10:30am -12:00 ET  [time zone converter]

Fireside Chat

Fireside chat: Quantum Chemistry on Quantum Computers

10:30 - 11:30 | Dr. Mario Szegedy - Rutgers University, Dr. Kirstin Doney - Lockheed Martin, Dr. Robert  Ledoux - ARPA-E, and Dr. Kubra  Yeter Aydeniz -The MITRE Corporation

In this session, we’ll explore the intersection of quantum computing and quantum chemistry. Leading experts will discuss how quantum algorithms are being developed to solve complex problems in chemistry that are intractable for classical computers. Designed as an interactive dialogue, this session will bring together different perspectives on how quantum computers could transform chemistry, from drug discovery to material science, and what still needs to be done to make this vision a reality.

Scalable Quantum Solutions for Quantum Chemistry

Keynote

10:30 - 11:30 | Dr. Nicole Holtzmann - PsiQuantum

In this session, we’ll explore the intersection of quantum computing and quantum chemistry. Leading experts will discuss how quantum algorithms are being developed to solve complex problems in chemistry that are intractable for classical computers. Designed as an interactive dialogue, this session will bring together different perspectives on how quantum computers could transform chemistry, from drug discovery to material science, and what still needs to be done to make this vision a reality.

Wednesday 23rd July

10:30am -12:00 ET  [time zone converter]

H-DES: A Hybrid Quantum-Classical Solver for Partial Differential Equations

Keynote

10:30am -11:30 ET  

ColibriTD’s H-DES is a universal quantum solver designed to tackle partial differential equations for real-world applications like fluid dynamics, combustion, mechanics, and climate modeling. Built as a hybrid quantum-classical solver based on a variational quantum algorithm (VQA), H-DES works on both current and future quantum devices. The session will also touch on future advancements, as H-DES is poised to tackle more complex PDEs and pave the way for large-scale quantum simulations.

An Introduction to Cat Qubits

Keynote

11:30am -12:00 ET  | Thiziri Aissaoui - Alice & Bob

Current implementations of qubits continue to exhibit too many errors to be scaled into useful quantum machines. An emerging approach is to encode quantum information in the two metastable states of an oscillator exchanging pairs of photons with its environment, a mechanism shown to provide protection against bit flips, at the modest cost of a linear deterioration of phase flips. In this talk, we will introduce the concept of this so-called dissipative cat qubit and explore how it can be implemented in the context of superconducting circuits.

Dr. Juan Jose Mendoza Arenas -University of Pittsburgh

Friday 25th July

10:30am -11:30 ET  [time zone converter]

Quantum-inspired Algorithms for Computational Fluid Dynamics

Keynote

Explore how quantum-inspired algorithms are accelerating breakthroughs in computational fluid dynamics (CFD). This session introduces core concepts, showcases case studies, and discusses future potential.

Week 9

Monday 28th July

10:30am -12:00 ET  [time zone converter]

Where Quantum Meets HPC: Challenges, Opportunities, and the Road Ahead

Fireside Chat

10:30 - 11:30 | Dr. Sara Marzella - CINECA

In this session we’ll dive into the exciting intersection of quantum computing and high-performance computing (HPC). The discussion will cover the challenges of integrating quantum algorithms into existing HPC workflows, the opportunities for synergy between the two, and what the future holds as quantum technology matures. Our panel will share insights on how we can bridge the gap and leverage the strengths of both quantum and classical computing to solve some of the most complex problems in science and industry.

QAOA for order fulfillment

  Keynote

11:30 - 12:00 | Yancho Gerdjikov - Nestle

Join us hear how Nestlé is exploring the Quantum Approximate Optimization Algorithm (QAOA) to enhance order fulfillment processes. Discover how one of the world’s largest consumer goods companies is using quantum.

Wednesday 30th July

10:30am -12:00 ET  [time zone converter]

Quantum for CFD @ QubitSolve

Bootcamp

We'll explore QubitSolve's approach to advancing Computational Fluid Dynamics (CFD) with quantum computing. By developing innovative quantum algorithms to solve the Navier-Stokes equations, QubitSolve aims to overcome the limitations of classical CFD simulations, potentially revolutionizing industries like aerospace, automotive, and energy where CFD is essential for optimizing designs and minimizing the need for expensive physical prototypes.

10:30 - 11:30 | Dr. Madhava Syamlal - QubitSolve

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