Quantum Machine Learning
Explore the fusion of Quantum Computing and Machine Learning to develop cutting-edge algorithms and solutions.
PBL
Project
Google Quantum AI Project
Location
Online
Duration
8 Weeks
Upcoming Sessions
Fall 2025
Outcomes
Implement quantum machine learning algorithms
Learn to process quantum data directly
Develop quantum neural networks on real hardware
Explore variational quantum algorithms
Study topological data analysis and its applications
You Will Get
Industry Guidance
Work directly with our project leads—experts and top researchers—who bring their real-world insights and expertise straight to your learning experience.
Research Experience
Collaborate with teammates and the project lead in a multi-week project to pursue novel questions in your research field.
Peer Networks
Engage with our PBL participants from all over the world. Collaborate with new peers and learn about their own research endeavours.
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A Strong Portfolio
Put your best foot forward in the PBL with a standout project and receive a PBL Evaluation Report that can be used as a recommendation letter for employers and grad schools.
Expert Guidance
Get personalized feedback to grow your research and innovation skills.
Deliverables
Real projects, lasting connections, and new opportunities beyond your program.
Project Deliverables
The final presentation of your 8 weeks could be a poster, written report, or a slide deck, all of which can be expanded on.
Research Extension
Utilize up to 5 additional meeting times with the project lead after the project’s conclusion to build your work out for publication or conference presentation.
Industry Network
Meet peers in your projects and participate in a global talent community both online and in-person.
Industry Application
Google Quantum AI, a pioneer in quantum computing and AI, leverages quantum algorithms to enhance machine learning applications. This PBL equips students with skills in quantum machine learning, neural networks, and quantum algorithms, making them ideal candidates for roles that drive innovations at companies like Google.
Popular Industry Positions
Quantum Software Developer
Develop and implement quantum algorithms for various applications.
Machine Learning Engineer
Build and optimize quantum-enhanced machine learning models.
Quantum Research Scientist
Conduct research and develop new quantum computing techniques and solutions.
Tracks
Track 1
Learning from Quantum Data
Learners will explore how to process and learn from quantum data using quantum computing, preserving its rich structure.
Introduction to the basics of quantum information.
Learn to write quantum machine learning algorithms.
Experiment with learning unknown quantum states.
Discover new machine learning possibilities unique to quantum computing.
Track 2
Variational Quantum Algorithms
Learners will investigate quantum circuits as analogs of classical neural networks, exploring their potential advantages and implementation on real quantum hardware.
Understand the vocabulary of trainable quantum circuits.
Implement quantum neural networks or variational quantum algorithms.
Gain hands-on experience with real quantum hardware.
Be at the forefront of testing quantum neural network architectures as quantum hardware evolves.
Track 3
Quantum Linear Algebra Algorithms
Learners will explore advanced quantum linear algebra algorithms, gaining insight into their theoretical foundations and practical applications.
Study the HHL algorithm and other quantum analogs of linear systems.
Examine the assumptions and practical considerations of quantum algorithms.
Research topics like quantum random access memory and quantum singular value transformation.
Develop confidence in navigating contemporary issues in quantum computing and quantum machine learning.
Track 4
Architectures for Quantum Deep Learning
Learners will explore how quantum computing could enhance deep learning, gaining insight into both classical and quantum model architectures.
Study classical deep learning architectures such as transformers and neural networks.
Discuss how quantum computation might improve these architectures in theory and practice.
Propose experiments to test quantum deep learning models on future quantum computers.
Develop architectural thinking by comparing classical and quantum approaches to machine learning.
PBL Journey
Online PBL Projects meet once a week for 8 weeks, and follow the research project format. Participants will meet the project lead, learn the conventions of the field and familiarize themselves with the tracks, then spend the middle portion of their time collaborating to develop their research.
At the end, participants will present their final project and receive feedback, with the opportunity to extend their timeline and develop the project in greater depth.
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Project Team
Our Academic Team plays a vital role in your PBL journey at Blended Learning. We are dedicated to enhancing your learning experience and ensuring your academic success. Our team consists of three distinct roles, each with a specific focus to support your Research Guidance, Project Progress, and Personal Growth.
Project Lead
Providing Industry and Research Guidance
Researcher in Quantum Computing at University College London
This project lead is a researcher at University College London, focusing on quantum computing. He previously studied Computer Science and Philosophy at the University of Oxford, where he won Gibbs Prizes and College Scholarships for top performances in both subjects. He also works with The Quantum Insider as a Consulting Partner, producing market reports and providing insights on the quantum computing industry. His research mission is to find practical quantum advantage in problems beyond physical simulation, concentrating on algorithms, applications, and architecture.
Academic Advisor
Tracking Your Project Development
The Academic Advisor is dedicated to your project completion success. They manage the progress of your PBL, guiding team formation, facilitating group discussions, and resolving conflicts. Additionally, the Academic Advisor ensures team member contributions are on track and provides logistical support, including attendance tracking, hosting recitation sessions, managing research support requests, and conducting student evaluations at the end of the PBL.
From Our Students
"After a night spent debugging, I suddenly discovered the program running perfectly. In that triumphant moment, you realize your true capability and success. The exhaustion fades, replaced by the thrill of knowing your skills and persistence led to this achievement, reaffirming your potential."
Nicole Y.
National University of Singapore
B.S. Economics
FAQs
What is the learning format of a PBL?
All PBLs are offered in an 8-week online format that begins with an orientation followed by subject setup overview of the different tracks. The majority of the session time is dedicated to project development, with a final presentation at the culmination of the 8 weeks. Many PBLs are also offered bi-annually in an on-campus format that consists of daily in-person meetings.
How long does each PBL cohort last？
One round of the Online PBL cohort lasts 8 weeks, preceded bys a pre-PBL orientation week. Each On-Campus PBL usually has 8 in person meetings, with intensive classroom education and collaboration. This means the biggest difference between online and on-campus PBLs is time participants have in between meetings.
How can I be more academically prepared before the PBL starts?
Review the Blended Learning Insights sent by the Academic Advisor and familiarize yourself with the project topic and pre-learning materials. Ensure you have all necessary softwares and other resources needed for the PBL.
For each PBL cohort, will I work in teams? Are PBL team members self-selected or assigned?
Yes, you will work in teams for each round of the PBL Cohort. Each team has 3 to 6 participants, organized by the Academic Team. The Academic Advisor will organize groupings based on students' backgrounds, preferred track, and skills.
Can I work with the Project Lead on my project after the PBL ends?
Yes, with your AI + X Research Plan, you may request up to five PBL Research Extension meetings, where you work with the project lead to develop your project into a working manuscript. To schedule a PBL Research Extension meeting, talk to your Academic Advisor at the conclusion of your PBL.
What do I receive at the end of the PBL?
At the conclusion of the PBL cohort, you can request a PBL Evaluation Report which summarizes the PBL content, the hours you spent, the track you chose, and includes a recommendation letter from the Project Lead (for eligible participants who completed the project successfully).
Is attendance mandatory for PBL Live Sessions and Recitation Sessions?
Yes, attendance is mandatory for both PBL Live Sessions and Recitation Sessions. Participants with three or more unexcused absences forfeit their eligibility for a PBL Evaluation Report.
Do I need to have my camera on during online PBL Live Sessions?
Yes, you must have your camera on during online PBL Live Sessions. Participants with cameras off will be marked as absent. This is meant to encourage active engagement and participation in meetings.
