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quantum computing in practice ibm learning skip to main content quantumcomputing courses com courses all courses course platforms coursera edx udemy brilliant hardware providers google quantum ai ibm quantum ionq quantinuum amazon braket azure quantum quera rigetti d wave tutorials all tutorials hello world qiskit hello world cirq hello world pennylane hello world braket quantum gates grover s algorithm shor s algorithm reference all frameworks qiskit cirq pennylane amazon braket pyquil tket d wave ocean q explore learn learning paths prerequisites programming guide case studies glossary books quantum news podcasts tools bloch sphere quantum pinball guides algorithm guide hardware guide qubit types framework comparison migration guide language timeline cheat sheets career events 2026 jobs careers certifications salary guide universities interview prep faq troubleshooting about company editorial policy search browse courses home courses ibm quantum quantum computing in practice ibm learning ibm quantum online course quantum computing in practice ibm learning free view free course on ibm quantum affiliate link we may earn a commission at no extra cost to you how this works official ibm quantum content access to real ibm hardware qiskit native curriculum part of ibm quantum network ibm s free course on utility scale quantum computing covers running large circuits on real ibm hardware error mitigation and near term application areas using qiskit runtime intermediate self paced by ibm quantum scores from the listing the provider s level plus maths and coding load from the topics named on the page this site has not sat the course difficulty medium maths low coding high in this guide 7 sections 01 what you ll learn 02 course structure 03 who is this for 04 prerequisites 05 hands on practice 06 why take this course 07 topics covered ibm s practical follow up to the basics of quantum information course focused entirely on using real quantum hardware at scale where the introductory course builds mathematical foundations this one puts you in front of actual ibm quantum processors with 100 qubits and shows you how to get useful results out of them today the course covers the techniques ibm s own researchers use when running circuits on production hardware including the error mitigation strategies that make noisy results interpretable and the qiskit runtime primitives that simplify hardware access what you ll learn qiskit runtime architecture the estimator and sampler primitives how they abstract hardware access and why they are preferred over direct circuit execution for utility scale work error mitigation techniques zero noise extrapolation probabilistic error cancellation and measurement error mitigation with worked examples showing how each technique improves hardware results transpilation at scale how qiskit maps logical circuits to physical hardware connectivity the cost of transpilation for large circuits and how to control it near term application areas quantum simulation of chemistry and materials combinatorial optimization and quantum machine learning with honest assessments of where quantum advantage may emerge first running utility scale jobs how to structure experiments manage job queues on ibm quantum and handle the classical post processing of hardware output benchmarking and verification how to assess whether your quantum results are meaningful and distinguish genuine quantum behaviour from classical noise course structure the course is divided into modules covering hardware fundamentals qiskit runtime error mitigation application areas and best practices each module combines explanatory text with code examples that you can run against ibm quantum simulators or real hardware through ibm quantum platform the course assumes familiarity with qubits quantum gates and basic quantum circuits completion of the basics of quantum information course or equivalent knowledge is recommended before starting who is this for developers and researchers who already understand quantum circuit basics and want to work with real ibm quantum hardware quantum computing practitioners looking to scale up from toy examples to production grade experiments anyone interested in the current state of the art for near term quantum computing students transitioning from textbook quantum computing to practical hardware work prerequisites basic familiarity with qubits quantum circuits and python is required the ibm learning course basics of quantum information or equivalent preparation is recommended some familiarity with qiskit is helpful but not strictly required as the course introduces qiskit runtime from scratch hands on practice all coding exercises use qiskit runtime and can target either the built in simulators or real ibm quantum processors through a free ibm quantum account build circuits using qiskit and submit them through the estimator and sampler primitives apply zero noise extrapolation to a noisy hardware result and observe the improvement transpile circuits for different ibm hardware topologies and compare the results run a small variational quantum eigensolver experiment using qiskit runtime analyse the output of a hardware job and apply measurement error mitigation why take this course most introductory quantum computing courses stop at the simulator stage this course starts where they leave off teaching you how to actually use ibm s quantum computers for real experiments the honest treatment of noise and error mitigation is particularly valuable it gives a realistic picture of what today s hardware can and cannot do which is more useful than the idealized simulator only view that many courses provide the free access to ibm quantum hardware through ibm quantum platform makes this course uniquely practical you are not just learning about quantum computing in theory you are running circuits on machines with 100 qubits topics covered qiskit runtime error mitigation utility scale quantum computing quantum hardware near term applications start this course quantum computing in practice ibm learning is free on ibm quantum at intermediate level and runs self paced a certificate is included view free course on ibm quantum more ibm quantum courses affiliate link we may earn a commission at no extra cost to you on this page 01 what you ll learn 02 course structure 03 who is this for 04 prerequisites 05 hands on practice 06 why take this course 07 topics covered at a glance provider ibm quantum price free certificate included level intermediate difficulty medium 3 5 maths low 1 5 coding high 4 5 related tutorials advanced error mitigation in qiskit runtime 14 min read error mitigation on amazon braket 22 min read probabilistic error cancellation with mitiq 50 minutes similar courses use a quantum computer today ibm learning free fundamentals of quantum algorithms ibm learning free basics of quantum information ibm learning free free quantum computing in practice ibm learning view free course on ibm quantum get one quantum email a week new tutorials courses worth taking and what changed in qiskit cirq pennylane this week no spam unsubscribe anytime email address subscribe 112 courses 220 tutorials 241 glossary terms 26 framework references 34 case studies quantumcomputing courses com free tutorials curated courses framework references and tools for anyone learning quantum computing an independent catalog of quantum computing courses and tutorials published by hadamard llc learn all courses free tutorials learning paths compare frameworks algorithm guide case studies quantum news reference glossary framework docs hardware guide qubit types history timeline cheatsheets bloch sphere quantum programming careers careers guide salary guide certifications interview questions jobs team training post a job talent pool about company editorial policy faq events 2026 podcasts books contact as an amazon associate quantumcomputingcourses com earns from qualifying 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