Explore. Experiment. Innovate.
Discover new ideas, run experiments, explore quantum technologies, and turn research into reproducible innovation, in one workspace for students, faculty and researchers.
Student sign-inFaculty sign-in
Free accounts. Everyone starts with student access.
What Qubit Ledger does
Select a card to see what it does, whether it works today, and where to find it after you sign in.
Research moves faster when the reading, the experiments and the people are in one place.
Most student and doctoral research still lives in email threads, shared drives and spreadsheets of references. Qubit Ledger replaces that with projects that hold their own papers, notebooks, notes and discussion, and a supervisor who can see progress without asking for it.
It was built for work in quantum computing, post-quantum cryptography and AI, where literature moves quickly and results need careful records. The same tools work for any discipline.
Access follows your institution’s structure: students, PhD scholars, faculty, supervisors, heads of department and administrators each see what their role allows, checked on the server rather than just hidden on screen.
What you can do today, and what is still coming.
Every feature below is marked by whether it works right now. Nothing on this page describes a tool that isn’t built.
Available now
Works for any signed-in account today.
- Paper discovery
Search OpenAlex and Crossref by topic, title or author, filter by year, read abstracts and open the publisher’s page.
- Library and citations
Save papers, tag them by topic, keep notes, and export references as APA, IEEE, BibTeX or RIS.
- Research projects
Members with roles, a named supervisor, milestones, results and supervisor feedback in one place.
- Research notebooks
Markdown notebooks for methods, derivations and results. They save as you type and can be shared with a project.
- Researcher messaging
Direct and group chats, a channel for every project, and papers shared straight from your library.
- Research community
Find researchers by the interests they choose to show, and connect before you message.
- Publications with ORCID
Link your ORCID iD and your papers appear on one shared page with your iD, counted by journal, conference and preprint.
- Role-based access
Separate views for students, scholars, faculty, supervisors, HODs, institution admins and auditors, enforced on the server.
- Research Code Lab
Python notebooks with NumPy, pandas, scikit-learn and Matplotlib that run in your browser, then publication-ready figures exported as JPG, PNG, SVG or PDF at 300–600 DPI.
Needs setup
Built, and switched on when your administrator connects the service it needs.
- IBM Quantum hardware
Build or paste a circuit, run it on a real IBM quantum computer, and keep every job and its measurement counts.
Connect your own IBM Quantum account, or use one your institution sets up.
- AI research assistant
Explore a question, summarise or compare papers you supply, and plan experiments. Answers are labelled AI-generated.
Works once your administrator connects an AI service.
- Datasets and files
Upload datasets and traces privately or to a project, with per-person storage quotas.
Works once file storage is connected.
- GPU experiments
Send a notebook to your institution’s GPU machine; every run records the GPU it actually used, its settings and results.
Needs a GPU runner registered by your administrator.
Planned
Not built yet. The dashboard shows these as “Not connected” rather than pretending.
- Post-quantum cryptography lab
Benchmark ML-KEM (Kyber) and ML-DSA (Dilithium) and compare implementations.
Built around how each person in a department actually works.
Learn how research is done by doing it alongside your faculty.
- Join the projects your faculty add you to
- Keep a lab notebook that saves as you type
- Build a reading list and export it for your report
- Message your guide in the project channel
Made for the fields where the literature moves fastest.
- Post-quantum cryptographyLattice schemes such as ML-KEM and ML-DSA, side-channel leakage, fault resilience.
- Quantum computingCircuits, state preparation, error correction and quantum metrology.
- AI and machine learningGraph neural networks, hybrid quantum-classical models, federated learning.
- CybersecurityIntrusion detection, secure firmware, threat analysis.
- Data scienceDatasets, benchmarking, reproducible evaluation.
- 1Literature review: 18 papers saved and tagged
- 2Notebook: threat model and leakage assumptions
- 3Milestone: first trace capture
- 4Supervisor feedback on the masking order
Three ways to start.
Individual accounts
Students and researchers register themselves. Everyone starts with student access; your institution’s administrator assigns faculty and other roles.
Create an accountDepartment setup
Tell us your department and how many people will use it, and we’ll set up the roles for HODs, supervisors and faculty.
Ask about setupA walkthrough for your team
A short live tour of projects, the library and supervision for faculty or a research group.
Request a walkthroughTalk to us.
Ask about setting up a department, request a walkthrough, or tell us what your research group needs. Every message gets a reference number and a reply by email.
Already have an account? Use Help & Support inside the dashboard for faster answers.
Questions people ask first.
Who can use Qubit Ledger?
Students, PhD scholars, faculty, researchers and institutions. Anyone can register; everyone starts with student access until an administrator assigns a role.
Is it free?
Accounts are free. There are no paid plans or billing yet.
Which features work today?
Paper search, the library and citations, projects, notebooks, messaging, the community and role-based dashboards. The Research Code Lab runs Python notebooks in your browser. The AI assistant, IBM Quantum runs and file storage switch on when the service they need is connected. A post-quantum cryptography benchmarking lab is planned and not available yet.
Where do search results come from?
Live from OpenAlex and Crossref, two open scholarly indexes. IEEE Xplore and Springer Nature can be added with an institutional API key. Google Scholar has no official API, so we link to it instead.
Who can see my work?
Your library, notebooks and files are private unless you share them with a project. Your profile shows only the details you choose to make public. Administrators can see account details, never passwords.
Does the AI assistant make things up?
It can. Answers are marked AI-generated, cite only the papers you give it, and present research gaps as hypotheses to check.
How is my account protected?
Passwords are stored only as salted one-way hashes. Sessions use secure, HttpOnly cookies, repeated wrong passwords lock the account for 15 minutes, and sign-ins are recorded in an audit log.