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Quantum Program 2025

Quantum Solvers: Algorithms for the World's Hardest Problems

Online | 2 June - 29 Aug 2025

3,623

Students

joined us in 2025 from over 100 countries

35+

Hours

of class based learning over 8 weeks

3 Industry Projects

6 weeks of hands on project based learning

Thank you to those who joined us for the 5th summer quantum program dedicated to Quantum Algorithms for Differential Equations. This course provided students with the tools and support to develop their quantum expertise and apply it in real-world projects with industry and government partners.

 

We hosted over 45 speakers across 35 hours of class-based learning and 6 weeks of hands-on project-based learning. The 2025 Quantum Program cohort reflects both the scale and specificity of today’s quantum talent pipeline: 3,623 delegates spanning disciplines from computer science and physics to engineering and mathematics. 90% of our cohort were supported by scholarships, ensuring that our program lowers barriers while drawing in technically skilled learners.

Quantum Skill Development

4.6 rating

86% of participants rated the program 4 or 5 for its importance in building quantum skills and exposure.

2025 in Review 

Download the full report to explore the achievements, lessons, and next steps as we continue building the world’s most dynamic quantum learning ecosystem.

We had three exciting projects to choose from this year.

Whether you're aiming for a  Quantum Industry Fellowship at the Quantum Solutions Launchpad or simply looking to gain experience, this is your chance to go from theory to impact

Vanguard Logo in red
bqp logo
Quantum Walks and Monte Carlo

This project builds on the foundations of the Quantum Fourier Transform and its potential for exponential speed-up over classical methods.​​​​

Quantum for Finance

This challenge, developed with Vanguard, explores how sampling-based quantum optimization can be harnessed to overcome the limitations of classical computing barriers. ​

Quantum PDE Solvers for CFD

This project, developed with BQP, explores how quantum circuits can solve nonlinear fluid equations using QTN and HSE frameworks.​

Agenda 2025

WEEK 1

Welcome & Orientation

Monday 2nd June | 10:30 - 12:00am ET  [time zone converter]

Speakers: WISER Team

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.

ORIENTATION

WEEK 1

Foundations of Quantum Computing

Wednesday 4th June | 10:30 - 12:30am ET  [time zone converter]

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.

LEARNING LAB

WEEK 2

Why Quantum Algorithms Matter Now

Monday 9th June | 10:30 - 11:00am ET  [time zone converter]

Speaker: 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.

INDUSTRY TRACK

WEEK 2

Quantum Teleportation and Grover's algorithm Speaker

Monday 9th June | 11:00 - 12:00am ET  [time zone converter] 

Instructor: Dr Rumlah Amer - QWorld

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.

LEARNING LAB

WEEK 2

An Introduction to Quantum Fourier Transform and Phase Estimation

Wednesday 11th June | 10:30am- 12:00pm ET [time zone converter]

Instructor: Jerimiah Wright - WISER QSL Fellow

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.

LEARNING LAB

WEEK 2

Getting Started with Pennylane 

Friday, 13th June | 10:30am- 11:30pm ET [time zone converter]

Instructor: Dr Ben Lau - Xanadu

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. 

LEARNING LAB

WEEK 3

Project Orientation (part 1)

Monday 16th June | 10:30am - 12:00pm ET  [time zone converter]

Speakers: 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.

QUANTUM  PROJECTS

WEEK 3

Project Orientation (part 2)

Wednesday 18th June | 10:00 - 10:30am ET  [time zone converter]

Speakers: Dr. Vardaan Sahgal - WISER and Bimal Mehta - Vanguard

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.

QUANTUM  PROJECTS

WEEK 3

Comparing Functional Quantum Linear Solvers

Wednesday 18th June | 10:30am - 12:00pm ET  [time zone converter]

Instructor:  Andreea-Iulia Lefterovici - Leibniz Universität Hannover

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.

LEARNING LAB

WEEK 4

Solving Partial Differential Equations on Quantum Computers

Monday 23rd June | 09:30am - 11:00am ET  [time zone converter]

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.

LEARNING LAB

WEEK 4

Elevate Region: Quantum Entrepreneurship in Focus

Wednesday 25th June | 10:30 - 11:30am ET  [time zone converter]

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. 

INDUSTRY TRACK

WEEK 4

Quantum Networking: Using Single Photons to Link Trapped Ion Quantum Computers 

Wednesday 25th June | 11:30 - 12:00am ET  [time zone converter]

Speaker: Isabella Goetting - Duke Quantum Center (DQC)

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

INDUSTRY TRACK

WEEK 4

The Art of Block Encoding

Friday 27th June | 10:30am - 11:30am ET  [time zone converter]

Instructor: Dr. Guilermo Alonso-Linaje - Xanadu    

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.     

LEARNING LAB

WEEK 5

Quantum Simulation and Lie Theory

Monday 30th June | 10:30am - 11:30am ET  [time zone converter]

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. 

LEARNING LAB

WEEK 5

The State of Quantum Optimization in Practical Applications

Monday 30th June | 11:30am - 12:00am ET  [time zone converter]

Dr. Pascal Halffmann - Fraunhofer ITWM  

Explore how quantum computing is being applied to real-world optimization challenges. This session will cover emerging use cases, best practices across quantum methods and hardware, and what makes an optimization problem a good fit for quantum approaches. You'll also gain insight into how to choose the right technique for solving different classes of problems, and what’s coming next in the field.

LEARNING LAB

WEEK 5

Quantum Advantage: Are Our Algorithms Ready?

Wednesday 2nd July | 10:30am - 11:30am ET  [time zone converter]

Prof. Andrew Childs - University of Maryland , Herman Øie Kolden - Aviant, and Hari Krovi - IBM

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.

INDUSTRY TRACK

WEEK 5

Future of HPC, Quantum Computing, and AI

Wednesday 2nd July | 11:30am - 12:00am ET  [time zone converter]

Dr. Stefan Kister - 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.

INDUSTRY TRACK

WEEK 5

Project Work Period Kick off 

Friday 5th July

WISER Team

From July 5, teams will develop their solutions in their team repository. The final state of this repository at the deadline will serve as the official submission for judging.

QUANTUM PROJECTS

WEEK 6

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

Monday 7th July | 10:30am - 11:30am ET  [time zone converter]

Dr. Amit Surana - RTX Technology Research Center

LEARNING LAB

A deep dive into structure-aware quantum algorithm design, grounded in practical applications like the heat equation. This session 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.

WEEK 6

Quantum Algorithms for Nonlinear Differential Equations

Wednesday 9th July | 10:30am - 11:30am ET  [time zone converter]

Dr. Pedro C. S Costa - BQP

LEARNING LAB

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.

WEEK 7

Variational Quantum Algorithms for Nonlinear Problems

Monday 14th July | 10:30am - 11:30am ET  [time zone converter]

Dr. Michael Lubasch - Quantinuum

LEARNING LAB

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.

WEEK 7

Harnessing Quantum Computing for Weather Modeling

Monday 14th July | 11:30am - 12:00pm ET  [time zone converter]

Dr. Reuben Demirdjian - U.S. Naval Research Laboratory

LEARNING LAB

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.

WEEK 7

Quantum Algorithms for Linear Differential Equations: Near-Optimal Scaling and Fast-Forwarding

Wednesday 16th July | 10:30am - 11:30am ET  [time zone converter]

Dr. Dong An - Peking University

LEARNING LAB

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. 

WEEK 7

Quantum Hardware Demystified

Wednesday 16th July | 11:30am - 12:00pm ET  [time zone converter]

Dr. Josh Mutus - Rigetti Computing

INDUSTRY TRACK

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.

WEEK 7

Adaptive Interpolation for Tensor Networks

Friday 18th July | 01:30am - 11:30am ET  [time zone converter]

Dr. Hessam Babaee - University of Pittsburgh

INDUSTRY TRACK

Solving nonlinear partial differential equations (PDEs) remains one of the most challenging tasks in scientific computing, especially at scale. This session introduces a quantum-inspired framework based on tensor networks for efficiently representing and solving nonlinear PDEs.

WEEK 8

Fireside chat: Quantum Chemistry on Quantum Computers

Monday 21st July| 10:30am - 11:30am ET  [time zone converter]

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

INDUSTRY TRACK

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. 

WEEK 8

Quantum Computing for Chemistry: From Promise to Applications

Monday 21st July| 11:30am - 12:00pm ET  [time zone converter]

Dr. Nicole Holtzmann - PsiQuantum

LEARNING LAB

This keynote session will highlight how scalable fault-tolerant quantum computing could unlock accurate simulations of complex molecular systems, with far-reaching implications for materials science, pharmaceuticals, and beyond.

WEEK 8

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

Wednesday 23rd July| 10:30am - 11:30am ET  [time zone converter]

Dr. Aoife Boyle - Colibritd

LEARNING LAB

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. 

WEEK 8

An Introduction to Cat Qubits

Wednesday 23rd July| 11:30am - 12:00pm ET  [time zone converter]

Dr. Thiziri Aissaoui - Alice & Bob

INDUSTRY TRACK

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.

WEEK 8

Quantum-Inspired Algorithms for Computational Fluid Dynamics

Friday 25th July| 10:30am - 11:30am ET  [time zone converter]

Dr. Juan Jose Mendoza Arenas -University of Pittsburgh

LEARNING LAB

Turbulence is one of the most complex and fascinating phenomena in classical physics, influencing everything from weather systems to aircraft design. This session explores a novel approach to analyzing and simulating turbulent flows using tools inspired by quantum many-body physics and tensor networks.

WEEK 9

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

Monday 28th July| 10:30am - 11:30am ET  [time zone converter]

Dr. Sara Marzella - CINECA, Ricky Young -Qbraid and Dr Travis Humble - ORNL

INDUSTRY TRACK

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.

WEEK 9

QAOA for Order Fulfilment

Monday 28th July| 11:30am - 12:00pm ET  [time zone converter]

Yancho Gerdjikov - Nestle

LEARNING LAB

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.

WEEK 9

Quantum for CFD @ QubitSolve

Wednesday 30th July| 10:30am - 12:00pm ET  [time zone converter]

Dr. Madhava Syamlal - QubitSolve

QUANTUM PROJECTS

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.

WEEK 9 - 12

Project Work & Submission

Wednesday 30th July| 11:30am - 12:30pm ET  [time zone converter]

WISER Team

QUANTUM PROJECTS

Teams must submit their project by the deadline to qualify for Demo Day on the 29th August. Judging is based on originality, technical depth, impact, and clarity. 

An Introduction to QFT and Phase Estimation with Jerimiah Wright ❯ 2025 QUANTUM PROGRAM
01:29:18
Quantum Simulation and Lie Theory with Dr. Korbinian Kottmann ❯ 2025 QUANTUM PROGRAM
49:44
Quantum Teleportation and Grover's algorithm with Dr Rumlah Amer ❯ 2025 QUANTUM PROGRAM
01:03:47
Duke Quantum Center Lab Tour with Isabella Goetting ❯ 2025 QUANTUM PROGRAM
26:41
WOMANIUM QUANTUM + AI 2024: DAY 14 ❯ NEUTRAL ATOM QUANTUM COMPUTING (Kristen Pudenz- Atom Computing)
30:16
Foundations of Quantum Computing with Dr Rashid, QWorld ❯  2025 QUANTUM PROGRAM
01:57:59

Watch our 2025 Program on demand

What our participants said

Undergraduate,  University of Notre Dame

The program fundamentally transformed my understanding of quantum computing and opened doors to a field I never imagined I could access.
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