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rigetti computing superconducting quantum 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 rigetti superconducting rigetti computing tunable coupler superconducting qpus with an aggressive open source compiler stack direct qpu access via qcs or through amazon braket 84 qubits ankaa 2 98 99 2q fidelity octagonal lattice aws braket access access via qcs access via aws braket available on amazon braket rigetti s aspen m 3 processor is accessible through amazon braket without a separate rigetti account you can also use the free quilc compiler and qvm simulator locally via pyquil without any cloud account at all about rigetti one of the first commercial quantum computing companies rigetti computing was founded in 2013 by chad rigetti a former ibm researcher making it one of the oldest commercial quantum computing companies rigetti was an early pioneer in cloud accessible quantum hardware launching the quantum cloud services platform and the forest sdk later rebranded as pyquil before most competitors had public cloud offerings rigetti builds superconducting transmon qubits using tunable couplers which allow the coupling strength between adjacent qubits to be switched on and off rapidly this tunable coupler architecture enables faster two qubit gates and lower residual coupling noise compared to fixed frequency qubit designs the ankaa 2 system arranges 84 qubits in an octagonal lattice a topology that is more densely connected than ibm s heavy hex layout reducing routing overhead for many common circuit patterns rigetti s open source compiler quilc is widely recognized as one of the most aggressive classical optimization compilers in quantum computing it accepts quil quantum instruction language circuits and applies a suite of optimizations including gate synthesis native gate decomposition and qubit routing before sending the result to hardware the free qvm quil virtual machine provides an exact simulator that runs the same quil instruction set making it straightforward to develop and validate programs before spending qpu time hardware specifications system specs at a glance specification value current systems ankaa 2 84 qubits aspen m 3 79 qubits via aws braket qubit technology superconducting transmon qubits with tunable couplers two qubit gate fidelity 98 99 iswap like native gate native gates cz gate and parameterized single qubit rotations connectivity octagonal lattice more connected than ibm heavy hex t1 t2 coherence 10 50 microseconds cloud access rigetti qcs direct amazon braket aspen m 3 primary sdk pyquil open source python qiskit via braket provider compiler quilc aggressive classical optimization for quil circuits ankaa 2 84 qubits qcs rigetti s latest system with tunable coupler architecture and octagonal lattice available via rigetti qcs best in class two qubit gate fidelity for a rigetti system supports openpulse for pulse level control aspen m 3 79 qubits aws braket available through amazon braket without a qcs account multi chip modular design suitable for learning and mid depth circuit experiments use the braket sdk or qiskit via the qiskit braket provider for familiar syntax use cases where rigetti hardware excels variational quantum algorithms the octagonal lattice with tunable couplers allows low overhead compilation of qaoa and vqe circuits fewer swap gates needed compared to heavy hex connectivity preserving circuit depth pulse level control and calibration research rigetti s openpulse support and qcs calibration data access give researchers low level control over gate microwave pulses enabling custom gate sets and noise characterization experiments quantum circuit compilation research quilc is one of the most aggressive open source quantum compilers researchers studying circuit optimization routing and gate synthesis can use it as both a tool and a benchmark target hybrid quantum classical algorithms qcs supports tight hybrid loops with low latency job submission and result retrieval well suited for iterative variational algorithms that alternate quantum circuit execution with classical optimization quantum chemistry simulations high two qubit gate fidelity and a relatively dense connectivity make rigetti hardware competitive for fermionic simulations of small molecules using the vqe ansatz benchmarking and hardware comparison rigetti s aspen and ankaa architectures offer a useful comparison point for superconducting qubit studies published calibration data via qcs enables detailed noise modeling getting started run your first circuit on rigetti 1 install pyquil and start with the free qvm simulator pip install pyquil pyquil is rigetti s open source python sdk you can write and run quil circuits on the free qvm simulator without any cloud account this is the fastest way to learn the rigetti toolchain see the pyquil reference for full api details 2 write a bell state with pyquil from pyquil import get_qc program from pyquil gates import h cnot measure p program ro p declare ro bit 2 p h 0 p cnot 0 1 p measure 0 ro 0 p measure 1 ro 1 p wrap_in_numshots_loop 100 qc get_qc 2q qvm free local simulator results qc run qc compile p readout_data ro print results this creates a bell state and measures it 100 times on the local qvm the qc compile call invokes quilc for classical optimization before simulation 3 access aspen m 3 via amazon braket no qcs account needed pip install amazon braket sdk from braket aws import awsdevice from braket circuits import circuit device awsdevice arn aws braket us west 1 device qpu rigetti aspen m 3 bell circuit h 0 cnot 0 1 task device run bell shots 100 print task result measurement_counts set aws credentials via aws configure this submits a bell state to aspen m 3 and prints measurement results see amazon braket for account setup and pricing details 4 use qiskit syntax via the braket provider pip install qiskit qiskit braket provider if you are more familiar with qiskit the qiskit braket provider lets you write standard qiskit circuits and submit them to rigetti hardware via braket the provider handles transpilation automatically 5 create a qcs account for direct ankaa 2 access for access to ankaa 2 openpulse calibration data and advanced qcs features create an account at qcs rigetti com qcs provides a job queue real time control access and detailed per qubit calibration reports pricing access costs rigetti hardware is available via amazon braket pay per shot or directly via qcs the qvm simulator and quilc compiler are completely free to run locally making rigetti one of the easiest platforms to start learning without spending money amazon braket aspen m 3 per shot per task aspen m 3 available via aws braket charged per shot and per task aws free tier provides 1 hour of simulator time per month see braket pricing page for current rigetti rates view details rigetti qcs direct subscription or pay per use rigetti quantum cloud services provides direct qpu access with calibration data and openpulse support pricing varies by plan the free qvm quil virtual machine simulator requires no payment view details qcs simulator qvm quilc free the quil virtual machine qvm and quilc compiler are fully open source and free to run locally or via qcs ideal for learning pyquil testing circuits and prototyping before qpu runs view details free option the qvm quil virtual machine is fully open source and runs locally for free it simulates rigetti hardware with configurable noise models and is excellent for learning pyquil testing circuits and teaching run docker run rm it p 5000 5000 p 5001 5001 rigetti qvm s to start a local qvm server learning resources tutorials and reference docs relevant tutorials hello world with amazon braket submit your first circuit to rigetti via braket getting started with amazon braket devices tasks results and pricing walkthrough framework references pyquil reference rigetti s sdk programs gates quilc qvm amazon braket reference sdk api for submitting to aspen m 3 amazon braket platform all qpu providers available via braket 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 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 about this site editorial policy team faq events 2026 podcasts books contact as an amazon 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