Quantum Optimization on Real Hardware
What 247 experiments on IBM Heron reveal about compilation, hardware noise, and classical recovery.
Read the article →The Quantum Classroom
Learn quantum computing by doing the work.
Open learning paths, runnable practice, and field notes that connect quantum theory to software, hardware, and scientific computing.
01 Writing
Research notes, now written here.
The website is now the home for new technical articles. Start with the featured piece, follow a focused series, or browse all writing, tags, and search. Older Medium lecture collections remain available below while they are migrated.
02 Learning Library
Choose a subject, then go deep.
Twenty-one open resources, grouped by what you want to learn—not by vanity metrics. Start with quantum foundations, then branch into applications, scientific computing, or programming.
Showing all 21 resources
01Quantum ComputingStart with fundamentals, Qiskit, landmark papers, and worked challenges.7 resources
Course01
Learn Quantum Computing for Free
A complete, curated path of resources to learn quantum computing from scratch.
Start learning → Course02Learn QC with Qiskit
Write and run quantum programs hands-on with IBM Qiskit.
Start Qiskit path → Solutions03Nielsen & Chuang Solutions
Worked solutions to the classic problems from Quantum Computation and Quantum Information.
Browse solutions → Challenges04Qiskit Summer School & Hackathon
All IBM Qiskit summer-school labs and quantum challenges in one place.
Explore challenges → Papers05Quantum Papers: Code
Read landmark quantum papers alongside runnable, annotated code.
Read with code → Codebook06Quantum Codebooks
Interactive Qiskit and Xanadu codebooks for guided practice.
Open codebooks → हिंदी07Qiskit in Hindi
Qiskit tutorials translated and taught in Hindi.
View Hindi guides →02Quantum ML & ApplicationsMove from QML foundations to near-term devices and numerical finance.3 resources
Course08
Learn Quantum Machine Learning
A guided introduction to getting started with QML.
Start QML path → Projects09QML on Near-Term Devices
Projects and case studies running QML on today's NISQ hardware.
View projects → Labs10Quantum Finance
Quantum computing in finance through hands-on, numerical labs.
Explore finance labs →03AI, ML & ProgrammingBuild breadth in language models and high-performance computing.1 resource
04Mathematics & CS FoundationsStrengthen linear algebra, computational physics, problem solving, and GPU programming.4 resources
Course13
Numerical Linear Algebra
Computational numerical linear algebra, from theory to code.
Explore the course → Tutorials14Computational Physics
Classical computational methods for physics problems.
See tutorials → Solutions15LeetCode Solutions
435 problem workspaces across Java, Python and C++.
Browse solutions → GPU16LeetGPU Solutions
CUDA kernels and GPU programming patterns for performance practice.
Explore GPU work →05More Open ProjectsFollow the same thread into quantum algorithms, high-energy physics, and research experiments.6 resources
QSVT17
QSVT Linear Solvers
A from-scratch quantum linear-system solver, validated numerically and tested on IBM and Quantinuum hardware.
Explore the solver → Projects18Qiskit Projects
Applied experiments built with IBM Qiskit, from optimization to hardware.
View the projects → Annealing19D-Wave Projects
Hands-on quantum annealing and combinatorial optimization with Ocean.
Explore annealing → Physics20High-Energy Physics
Computational approaches to particle physics and numerical experimentation.
Explore the physics → Research21Medium Articles Code
Runnable experiments and code from technical writing and research.
Open the notebook →03 Practice Lab
Turn reading into working code.
Choose a focused collection, write code in the browser notebook, run sample checks, and submit against the complete assessment.
04 Archive
Earlier lecture collections.
These older series still live on Medium. They are kept here as an archive while selected articles move into the local writing system.
Browse six Medium lecture collections
Archive 01