7 Best Applied Quantum Computing Courses in 2026 (Free + Paid, Ranked)

The comparison is split into two short tables so it reads well on mobile. The first covers format, duration and cost; the second covers prerequisites and who each course suits. All details were checked on the providers’ own pages on 24 September 2026 unless flagged.

This first table shows how each course is delivered and what it costs. Use it to rule out anything that doesn’t fit your schedule or budget.

Course and provider	Format and duration	Fee
1. Applied Quantum Computing and AI IIT Delhi CEP (with InterviewBit Varsity)	Live online weekends plus recordings; 6.5 months, 156 live hours	INR 2,50,000 + GST
2. Quantum Information & Computation seriesIBM Quantum Learning	Self-paced; 4 courses × 15 hours	Free
3. Quantum Computing for Everyone 1 & 2UChicagoX (edX)	Self-paced; about 3 months at 3–5 hrs/week	Free to audit; certificate programme US$398 (≈ INR 38,000)
4. Intro to Quantum Computing: Algorithms and QiskitNPTEL (IIT Madras and IBM)	Semester-based online; week count to be confirmed per run	Free to study; INR 1,000 proctored exam for certificate
5. Qiskit Global Summer SchoolIBM	Virtual, two weeks each July; 35–45 hours in total	Free
6. Quantum Computing FundamentalsMIT xPRO	Online, self-paced plus live webinar; 2 courses × 4 weeks at 4–6 hrs/week	US$2,500 (≈ INR 2,38,950)
7. Get started with Azure QuantumMicrosoft Learn	Self-paced; 6 modules	Free

The second table is the one most course lists skip. It tells you whether each course teaches the maths it uses or expects you to arrive with it.

Course	Prerequisites (teaches or assumes?)	Best for
1. IIT Delhi CEP	Teaches linear algebra, probability and complex numbers in a 12-hour opening module; assumes programming experience	Working professionals wanting quantum plus AI
2. IBM Quantum Learning	None stated, but assumes comfort with vectors, matrices and complex numbers in practice	Self-learners with the maths
3. UChicagoX	Asks only for basic algebra; teaches the linear algebra operations it uses	Complete beginners
4. NPTEL	Assumes basic linear algebra; uses Python (Qiskit) in labs	Indian students wanting a cheap certificate
5. Qiskit Summer School	No quantum experience needed; Python recommended; linear algebra helpful but not mandatory	Learners wanting a cohort, free
6. MIT xPRO	Assumes vector and matrix multiplication	Leaders needing an MIT credential
7. Microsoft Learn	Assumes basic linear algebra, basic Azure and VS Code familiarity	Developers already on Azure

Currency note: US-dollar fees are converted at US$1 = INR 95.58, the market rate on 23 September 2026. Your card or bank will add forex charges, so the rupee cost you actually pay will be slightly higher.

7 Best Quantum Computing Courses in 2026: Detailed Reviews and Comparisons

Each review below follows the same eight points in the same order, so you can compare like for like. Every entry has a “Not for” line, because knowing which course is wrong for you saves as much time as knowing which is right.

1. IBM Quantum Learning: Quantum Information and Computation Courses

This is the strongest free teaching on the list, from the company that builds the hardware many other courses use. The series is taught by John Watrous and sits under IBM’s “Foundations of quantum computing” catalogue.

• What it teaches: Four courses of 15 hours each:
  • Basics of Quantum Information
  • Fundamentals of Quantum Algorithms
  • General Formulation of Quantum Information
  • Foundations of Quantum Error Correction
• IBM also offers applied courses alongside the series, including Use a Quantum Computer Today (5 hours), Quantum Computing in Practice (8 hours) and Quantum Machine Learning (10 hours).
• Prerequisites: IBM states none, but the series moves quickly from states and measurement to error correction. In practice, it assumes comfort with vectors, matrices and complex numbers.
• Format and time commitment: Self-paced video lessons plus written material that works as a textbook. The series totals about 60 hours.
• Cost: Free, including access to IBM’s quantum platform.
• Is the certificate worth anything? The course pages do not advertise a certificate for this series. What you gain is skill and circuits you can show.
• Best for: Disciplined self-learners who have the maths or are willing to build it.
• Not for: Anyone who needs a certificate, a deadline or live help.
• Verdict: The best free material available. Pair it with a linear algebra refresher if needed.

2. Certification in Applied Quantum Computing and AI IIT Delhi CEP (with InterviewBit Varsity)

This is the only entry that combines quantum computing and AI/ML in one live, structured programme. It is offered by

 IIT Delhi’s Continuing Education Programme (CEP)

 in collaboration with InterviewBit Varsity, and the details below are taken from the programme page.

• What it teaches: 15 modules across four phases: foundations, algorithms, hardware and security, and quantum-AI and industry. Topics include Qiskit programming on real IBM hardware, quantum optimisation, error mitigation, post-quantum cryptography and quantum machine learning. Four mini-capstones build into a final capstone that you defend to an expert panel.
• Prerequisites: Eligible applicants include B.Tech/BE, BCA/MCA and B.Sc graduates, BA/MA graduates in maths, and tech professionals with programming experience. Admission is screened. The first module (12 hours) teaches linear algebra, probability and complex numbers from scratch, but you need to be able to program already.
• Format and time commitment: 6.5 months of weekend live online sessions with recordings, totalling 156 live hours. There is an optional two-day campus immersion at IIT Delhi, with travel and accommodation paid by the learner.
• Cost: ₹2,50,000 plus GST.
  • There is a INR 1,000 application fee, and a INR 15,000 first instalment confirms your seat.
  • EMI starts from INR 14,996/month through NBFC partners. This is a service offered by InterviewBit, not IIT Delhi.
  • You get an 80% refund (excluding tax) if you withdraw within 15 days, and nothing after that.
• Is the certificate worth anything? You receive a verifiable IIT Delhi CEP e-certificate if you reach at least 50% attendance and at least 50% in evaluations. A participation certificate needs 60% attendance. The IIT Delhi name is well recognised in India, but this is a continuing-education certificate, not a degree. The page itself states that no placement or alumni status is implied.
• Best for: Working tech professionals in India who want live teaching, deadlines, an Indian institutional certificate and specifically the overlap between quantum computing and AI.
• Not for:
  • Anyone who wants free, self-paced fundamentals.
  • Learners on a tight budget.
  • People who can’t program yet.
  • Anyone whose weekends aren’t reliably free.
  • Learners outside Indian time zones.
  • Anyone heading towards a research PhD, where pure theory matters more.
• Verdict: A structured, applied quantum-plus-AI cohort with a recognised Indian credential. It’s worth the fee only if you’ll use the live teaching and the projects. The listed cohort starts on 17 October 2026, with applications closing on 15 October 2026.

3. UChicagoX Quantum Computing for Everyone: Beginner Courses on edX

This is the genuine beginner entry and the only one built around learners with weak maths. It is taught by University of Chicago faculty, including Diana Franklin.

• What it teaches: Part 1 moves from why quantum computing matters, through intuitive quantum physics, to single-qubit operations and a first complete algorithm. Part 2 continues into multi-qubit operations, circuits and Deutsch’s algorithm.
• Prerequisites: edX states that the course requires only basic algebra. It teaches the limited linear algebra it uses.
• Format and time commitment: Self-paced, with two courses over about three months at 3–5 hours per week.
• Cost: Free to audit. The paid Professional Certificate for both courses is listed at US$398 (≈ INR 38,000), and edX often runs discounts.
• Is the certificate worth anything? It’s a verified university-branded certificate, useful as proof of study. It won’t carry much weight with hiring managers on its own.
• Best for: Anyone whose linear algebra is rusty or never existed.
• Not for: Anyone who wants to write production Qiskit code. This course teaches you to understand quantum computing, not to build with it.
• Verdict: The right first step for true beginners. Move to IBM or NPTEL afterwards.

4. NPTEL Quantum Computing Course: Algorithms, Qiskit, and Certification

This is the best-value credential route for Indian learners. It is taught jointly by IIT Madras and IBM Research faculty on the government-backed SWAYAM-NPTEL platform.

• What it teaches: Superposition and entanglement, the circuit model, core quantum algorithms and an introduction to error correction. There are hands-on sessions in Qiskit and IBM’s Circuit Composer throughout.
• Prerequisites: The course lists basic linear algebra as a prerequisite and assumes it. Python helps with the Qiskit labs.
• Format and time commitment: Online, following NPTEL’s fixed semester cycle with weekly assignments. Confirm the week count on the current run page.
• Cost: Free to enrol and study. The proctored certification exam costs INR 1,000, with a 50% waiver for eligible categories such as SC/ST candidates.
• Is the certificate worth anything? Yes, within India. NPTEL is familiar to Indian universities and employers, and the certificate combines assignment scores with an in-person proctored exam.
• Best for: Indian students and early-career engineers who want an affordable, recognised certificate.
• Not for: Anyone who needs to start immediately. Enrolment opens only in semester windows, and the most recent run’s exam was held in March 2026.
• Verdict: Excellent value if the timing fits. NPTEL also lists a separate Quantum Algorithms and Cryptography course as a follow-on option.

5. IBM Qiskit Global Summer School: Free Quantum Programming Training

This is the closest thing to a free cohort experience in quantum education. It runs for two weeks every July and has beginner and advanced tracks.

• What it teaches: Practical Qiskit skills through lectures, interactive labs and live Q&As with IBM Quantum researchers. The 2026 edition also included optional career workshops on reading papers and using GitHub.
• Prerequisites: No prior quantum experience is needed. Python is recommended for the labs, and linear algebra and probability help but aren’t required.
• Format and time commitment: Fully virtual, recorded content with a Discord community. The 2026 edition ran from 13 to 24 July, and organisers advised planning 35-45 hours.
• Cost: Free.
• Is the certificate worth anything? It’s a modest but visible signal. A completion certificate requires watching 80% of the core lectures, and badges also require completing labs.
• Best for: Motivated learners who want structure, a community and a free badge.
• Not for: Anyone who needs to start this month. 2026 registrations are closed, and 2027 dates had not been announced when we checked. Registration has historically filled within days, so watch IBM’s Quantum blog from around May.
• Verdict: Well worth planning for. Until then, IBM’s self-paced material (entry 2) is available now.

6. MIT xPRO Quantum Computing Fundamentals: Curriculum, Cost, and Certificate

This is a two-course professional programme aimed at people who need to judge where quantum computing applies, rather than write quantum code daily. Faculty listed include Isaac Chuang, Peter Shor and William Oliver.

• What it teaches: Introduction to Quantum Computing, followed by Quantum Algorithms for Cybersecurity, Chemistry, and Optimization. The emphasis is on business implications, engineering challenges and realistic algorithm limits, with exercises on IBM’s quantum platform.
• Prerequisites: MIT states that you need basic knowledge of vector and matrix multiplication. This is assumed, not taught.
• Format and time commitment: Online and self-paced with a live webinar. It runs as two courses of 4 weeks each at 4-6 hours per week. The next listed start date is 5 October 2026.
• Cost: US$2,500 (≈ INR 2,38,950) for the full programme, or US$1,600 (≈ INR 1,52,930) per individual course. The price is in dollars, so the rupee cost moves with the exchange rate.
• Is the certificate worth anything? You earn an MIT Professional Certificate and 4 CEUs by completing both courses. It has global brand recognition, but it is not a degree.
• Best for: Managers, consultants and technical leaders who need an MIT credential and a strategic grasp of quantum computing.
• Not for: Anyone measuring cost against contact time. It has the highest price per hour on this list, and there’s less hands-on coding than in entries 1, 2 or 4.
• Verdict: A strong strategic overview for professionals whose employer is paying.

7. Microsoft Learn Azure Quantum: Free Beginner Course in Quantum Computing 

This is the fastest route from zero to running quantum code, provided you work in Microsoft’s ecosystem. It is a free, beginner-level learning path of six modules.

• What it teaches:
  • An introduction to quantum computing with Azure Quantum
  • Choosing an Azure Quantum option
  • Writing a first Q# program
  • Superposition in Q#
  • Qubit teleportation
  • Resource estimation for quantum algorithms
• Prerequisites: Microsoft lists basic knowledge of the Azure ecosystem, basic linear algebra and familiarity with VS Code. All of these are assumed.
• Format and time commitment: Self-paced modules that fit into a weekend or two. The total time estimate did not display when we checked.
• Cost: Free.
• Is the certificate worth anything? You earn a Microsoft Learn achievement on your profile. It’s a small signal and useful mainly alongside a project.
• Best for: Developers already using Azure who want to write Q# quickly.
• Not for: Theory-first learners, or anyone wanting a vendor-neutral foundation. Q# skills transfer only partly to Python-based Qiskit.
• Verdict: A quick, practical taster. It works better as a second course than a first.

Free Quantum Computing Courses and Learning Resources Beyond the Top 7

Several strong free resources didn’t make the ranked list because they are narrower, run irregularly or are books rather than courses. They are still worth knowing, especially if you plan to spend nothing.

TU Delft Quantum Computing and Quantum Internet Courses on edX

This two-course series is the strongest option here on quantum hardware and quantum networking. Few other courses cover these topics.

Each course runs about 6 weeks at 6–8 hours per week. The courses are free to follow, but the certificate requires a fee that TU Delft does not publish on its own page.

QWorld QBronze: Free Quantum Programming Workshops for Beginners

These are free, live workshops on quantum programming run by regional volunteer groups. They are useful if you learn better with other people.

You need to know at least one programming language. Dates are irregular, so check QWorld’s website for the next open registration.

Google Quantum AI Courses on Coursera: Hands-On Quantum Error Correction

Google’s Hands-on Quantum Error Correction course is narrow but genuinely practical. It is listed at an intermediate level, so it suits learners who have finished a beginner course.

Check audit availability and the certificate price on Coursera before enrolling.

Free Quantum Computing Textbooks, Lecture Notes, and Self-Study Materials

What maths do you actually need before starting a quantum computing course?

You need three things: linear algebra (vectors, matrices, matrix multiplication and eigenvalues), complex numbers and basic probability. Physics helps for hardware-focused courses but isn’t required for most software-side learning.

Here is why each topic matters and how deep you need to go:

• Linear algebra: Qubit states are vectors, and quantum gates are matrices, so running a circuit is essentially matrix multiplication. You need to be fluent in this.
• Complex numbers: State amplitudes are complex. Being comfortable with the basics, especially magnitude, is enough to start.
• Probability: Measurement outcomes are probabilistic. School-level probability is sufficient.
• Python (for hands-on courses): Qiskit, Cirq and PennyLane are all Python libraries.

Among the seven courses, MIT xPRO, Microsoft Learn and NPTEL assume linear algebra. IBM states no prerequisites but moves fast. UChicagoX and entry 1 teach the maths they use, though at very different speeds.

If you have none of it: spend a few weeks on a linear algebra refresher, then start with UChicagoX, and move on to IBM or NPTEL after that.

Are quantum computing certifications worth anything to Indian employers?

A quantum certificate is evidence that you studied, not a hiring credential. There is no industry-standard quantum certification comparable to cloud certifications. What carries weight is work you can show, such as circuits run on real hardware or a readable Qiskit project.

Here’s how the certificates from the seven courses compare in the Indian market, in our editorial assessment:

Credential	What you get	How it reads in India
NPTEL	Proctored-exam certificate	Widely understood by Indian universities and employers
IIT Delhi CEP (entry 1)	Continuing-education e-certificate	Strong institutional name domestically
MIT xPRO	Professional Certificate + CEUs	Globally recognised brand; the highest cost
UChicagoX	Verified edX certificate	Proof of study; limited hiring weight
Qiskit Summer School	Certificate or badge	Recognised within the quantum community
Microsoft Learn	Profile achievement	A small signal
IBM Quantum Learning	No advertised certificate	Nothing for your CV, yet the best teaching on the list

That last row is the real lesson: the course with the weakest credential offers the best teaching. Choose for skills first and certificates second.

How to Choose the Right Quantum Computing Course for Your Skills and Career Goals

Choosing a quantum computing course comes down to three questions: how much maths you have, whether you want to understand quantum computing or write quantum code, and whether you need a credential. Answer them in that order.

Here is how each question narrows your options:

• Your maths level decides more than anything else. If matrices feel unfamiliar, start with UChicagoX. If you’re comfortable with them, IBM, NPTEL and MIT xPRO all open up.
• Understanding and coding are different goals. UChicagoX and MIT xPRO build conceptual understanding. IBM, NPTEL, Microsoft Learn and the IIT Delhi programme get you writing and running circuits.
• Credentials matter only if someone will check them. If you need a certificate recognised in India, NPTEL and the IIT Delhi CEP programme are the most relevant. If you only need skills, the free routes are enough.

Looking for a degree instead? Some readers searching for a “course” actually want a B.Tech specialisation, an AICTE minor or an M.Tech in quantum technologies. Those are university admissions decisions and fall outside this comparison.

How we ranked these: teaching quality, how honestly each course states its prerequisites, whether it’s currently running or openly available, and value per rupee.

Frequently asked questions