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azure quantum microsoft quantum computing platform 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 about team search browse courses home platforms azure quantum multi vendor q azure quantum microsoft s quantum computing platform access ionq quantinuum and rigetti hardware develop in q estimate fault tolerant resources and track microsoft s topological qubit research program ionq quantinuum rigetti 500 free credits q language resource estimator get access q playground about azure quantum microsoft s quantum platform and long term hardware bet azure quantum is microsoft s cloud quantum computing service providing access to hardware from ionq trapped ion quantinuum trapped ion rigetti superconducting and pasqal neutral atom through the azure portal and sdk like amazon braket it takes a multi vendor approach but azure quantum s differentiating focus is on tooling for the fault tolerant era the q language the quantum development kit and the azure quantum resource estimator q is a domain specific quantum programming language developed by microsoft unlike python based sdks that treat quantum circuits as library objects q is a full language with classical control flow recursion type safety and rich built in operations for quantum arithmetic phase estimation and amplitude amplification the qdk vs code extension provides an integrated development environment with local simulation resource estimation and hardware submission without leaving the editor microsoft s long term hardware strategy centers on topological qubits unlike superconducting or trapped ion qubits topological qubits based on majorana fermions are theorized to be inherently more robust to local noise potentially requiring far fewer physical qubits per logical qubit for error correction in february 2025 microsoft announced majorana 1 its first topological qubit chip marking the transition from purely theoretical research to physical demonstration as of 2026 majorana 1 is in extended hardware testing full programmable topological quantum computing remains a longer horizon goal hardware specifications systems and specs at a glance specification value hardware providers ionq quantinuum rigetti pasqal multi vendor microsoft hardware research majorana 1 topological qubit chip announced 2025 gate based systems ionq aria and forte quantinuum h2 rigetti cepheus 1 108q primary language q microsoft s quantum programming language sdks quantum development kit qdk azure quantum python sdk also supports qiskit and cirq via the azure quantum python package resource estimator estimates t gates logical qubits and runtime for fault tolerant algorithms free credits 500 in azure quantum credits per participating provider for first time users browser access q playground at quantum microsoft com no account needed hybrid workflows integrated hybrid quantum classical jobs and sessions ionq aria forte 25 36 qubits ionq s trapped ion systems accessible via azure quantum all to all connectivity eliminates the need for swap routing overhead longer coherence times than superconducting qubits make these well suited for deep circuits submit via q qiskit or the azure quantum python sdk quantinuum h2 1 56 qubits quantinuum s h2 1 is one of the highest fidelity gate based quantum computers available trapped ion architecture with all to all connectivity and mid circuit measurement support quantinuum uses h system quantum credits hqcs for pricing accessible via azure quantum majorana 1 research phase microsoft s topological qubit chip announced february 2025 uses majorana fermions for inherently more stable qubits as of 2026 the device is in extended hardware testing not yet available for general cloud access represents microsoft s long term pathway to scalable fault tolerant quantum computing resource estimator free tool not a hardware system but azure quantum s most distinctive tool given a q algorithm the resource estimator calculates the number of logical qubits physical qubits t gates t factories and estimated runtime for a fault tolerant implementation using configurable error correction codes use cases where azure quantum excels fault tolerant algorithm resource estimation the azure quantum resource estimator is unique in the industry paste any q algorithm and get detailed estimates of logical qubit count t gate count distillation factories and wall clock runtime for a fault tolerant implementation essential for planning long horizon quantum projects quantum chemistry azure quantum elements azure quantum elements combines ai and quantum simulation for materials science and drug discovery it uses quantum inspired techniques today with a pathway to quantum hardware acceleration aimed at enterprise customers in pharma and materials research combinatorial optimization azure quantum once offered a quantum inspired optimization qio service but microsoft retired it in 2023 today optimization workloads run as hybrid quantum classical jobs on partner hardware for example qaoa style circuits on ionq or quantinuum systems cryptography and security research microsoft s resource estimator makes azure quantum a natural fit for cryptographic security analysis estimate the qubit and gate resources needed to break rsa or ecc at various key sizes informing post quantum migration planning q algorithm development q is a domain specific language designed for quantum algorithm expression with classical control flow type safety and rich library support the qdk vs code extension provides debugging resource counting and simulation without needing hardware access topological qubit research microsoft s long term hardware bet is topological qubits using majorana fermions which are theorized to have inherent fault tolerance majorana 1 announced in 2025 is microsoft s first topological qubit chip researchers can follow and engage with this program through azure quantum getting started run your first q program on azure quantum 1 try q in the browser no account needed go to quantum microsoft com and open the q playground you can write and run q programs against a built in simulator directly in the browser the resource estimator is also available here without signing in 2 install the qdk vs code extension in vs code search the extensions marketplace for azure quantum development kit or install the python package for azure quantum pip install azure quantum the qdk extension adds q syntax highlighting intellisense a built in simulator and the resource estimator directly in vs code python interop lets you call q operations from a python host program 3 write a bell state in q namespace bellstate open microsoft quantum diagnostics entrypoint operation measurebellpair result result use q0 q1 qubit qubit h q0 cnot q0 q1 let r0 m q0 let r1 m q1 reset q0 reset q1 return r0 r1 run this locally with the built in qdk simulator using the vs code run button or the qsharp python package results will be either zero zero or one one confirming entanglement 4 use the resource estimator in python with the azure quantum sdk from azure quantum import workspace from azure quantum target microsoft import microsoftestimator workspace workspace resource_id subscriptions resourcegroups providers location eastus estimator microsoftestimator workspace workspace submit a q program and get physical resource counts back the resource estimator accepts q programs and returns detailed physical resource breakdowns logical qubit count t factory count code distance physical qubit count and estimated runtime no hardware is consumed it is a classical calculation 5 submit to hardware via qiskit ionq example pip install azure quantum qiskit from azure quantum qiskit import azurequantumprovider from qiskit import quantumcircuit provider azurequantumprovider resource_id your_resource_id location eastus backend provider get_backend ionq simulator qc quantumcircuit 2 qc h 0 qc cx 0 1 qc measure_all job backend run qc shots 500 print job result get_counts you can use your existing qiskit circuits on azure quantum hardware by installing the azure quantum qiskit provider change the backend string to target ionq or quantinuum hardware pricing access plans and costs new azure quantum accounts receive 500 in free credits the q playground and resource estimator are free with no account hardware is billed per provider through your azure subscription azure quantum credits 500 free for new accounts first time azure quantum users receive 500 of azure quantum credits with each participating hardware provider including ionq and quantinuum credits are the primary way learners and researchers access real hardware at no initial cost view details q playground free no account needed the q playground at quantum microsoft com runs q programs in the browser with a built in simulator no azure account required suitable for learning q syntax testing small algorithms and exploring the resource estimator view details azure quantum learning free courses and notebooks microsoft learn at learn microsoft com provides free structured q courses jupyter notebooks and guided labs covering quantum fundamentals q programming and algorithm design no hardware credits consumed by learning content view details hardware per provider ionq and quantinuum standard pricing each provider sets its own billing model on azure quantum ionq bills in azure quantum tokens calculated from gate shots quantinuum bills in hardware quantum credits hqcs rigetti bills per increment of job execution time azure consumption billing applies via your azure subscription view details cost tip use the q playground and the resource estimator for free before spending any hardware credits the resource estimator is especially valuable for understanding the true resource cost of your algorithm at scale which helps you decide whether a workload is viable on near term hardware or requires fault tolerant systems learning resources tutorials and reference docs relevant tutorials hello world with qiskit run qiskit circuits via the azure quantum qiskit provider grover s algorithm implement and estimate resources for grover s search in q microsoft azure quantum certification no official azure quantum certification exists yet what to learn instead framework references q reference language syntax standard libraries and qdk tooling qiskit reference use qiskit circuits on azure quantum hardware providers search start here start from zero no physics needed best courses 112 listed free tutorials 220 hands on glossary 241 terms qubit factory watch a qubit get built 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 written and maintained by dr donovan who writes on quantum computing research hardware and industry at quantum zeitgeist learn all courses free tutorials learning paths compare frameworks algorithm guide case studies quantum news reference glossary framework docs 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