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description= IonQ builds trapped-ion quantum computers with all-to-all connectivity and industry-leading gate fidelity. Access IonQ Forte and Forte Enterprise via…;
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ionq trapped ion 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 ionq trapped ion ionq all to all connectivity commercial trapped ion quantum computing with industry leading algorithmic qubit performance aq 36 forte 99 5 gate fidelity all to all connectivity 4 cloud providers get access first circuit tutorial about ionq trapped ions trapped in nothing else ionq was founded in 2015 by christopher monroe and jungsang kim both leading researchers in trapped ion quantum information at the university of maryland and duke university the company went public in 2021 becoming the first pure play quantum computing company listed on the nyse ionq uses ytterbium 171 ions suspended in a paul trap using oscillating electric fields each ion is an identical copy of every other unlike superconducting qubits which are fabricated and vary in frequency every ionq qubit is a single atom with precisely known quantum states laser pulses drive transitions between the ground state 0 and the excited state 1 two qubit gates exploit the shared motional modes of the ion chain which means any two qubits can interact directly without routing through intermediate qubits ionq introduced the algorithmic qubit aq metric to quantify the useful computational capacity of a quantum processor accounting for both qubit count and gate fidelity a system with aq n can reliably run a random circuit of depth n using n qubits this is more useful than raw qubit count alone hardware specifications system specs at a glance specification value current systems ionq aria forte forte enterprise tempo rolling out algorithmic qubits aq aq 25 aria aq 36 forte two qubit gate fidelity 99 5 qubit technology ytterbium trapped ions connectivity all to all any qubit pair coherence time seconds to minutes gate time 2q 100 600 microseconds cloud access aws braket azure quantum google cloud ionq cloud supported sdks qiskit cirq amazon braket sdk q pennylane ionq aria aq 25 25 algorithmic qubits with 99 5 two qubit gate fidelity available via azure quantum and ionq cloud no longer listed on aws braket best for mid depth circuits and learning ionq forte aq 36 ionq s flagship system with 36 algorithmic qubits forte introduced acousto optic deflector aod beam steering for software configurable individual qubit addressing higher aq enables deeper more complex algorithms available via aws braket azure quantum and ionq cloud use cases where ionq hardware excels deep variational circuits all to all connectivity means qaoa and vqe circuits compile with zero swap overhead preserving circuit depth and fidelity quantum error correction research long coherence times seconds combined with high fidelity gates enable multi round error correction experiments quantum chemistry simulations high gate fidelity reduces accumulated error in deep fermionic simulations making molecular energy calculations more accurate optimization problems native connectivity maps naturally to fully connected ising models used in combinatorial optimization without routing penalties quantum machine learning low noise and high fidelity improve gradient estimates in parameterized quantum circuits used for qml experiments benchmarking and research the aq metric provides a hardware agnostic way to assess true algorithmic throughput useful for comparing platforms getting started run your first circuit on ionq 1 create an aws account easiest path the fastest way to access ionq hardware is via amazon braket create a free aws account at aws amazon com new accounts receive aws free tier credits braket simulators are free within the first hour per month 2 install the amazon braket sdk pip install amazon braket sdk the sdk supports python 3 9 set your aws credentials via aws configure or environment variables see the braket reference for full setup details 3 write and submit your first circuit from braket aws import awsdevice from braket circuits import circuit device awsdevice arn aws braket us east 1 device qpu ionq forte 1 bell circuit h 0 cnot 0 1 task device run bell shots 100 print task result measurement_counts this creates a bell state and runs it on ionq forte with all to all connectivity the cnot compiles directly with no swap insertions needed 4 use cirq for google cloud access if you prefer cirq install cirq ionq and authenticate with an ionq api key ionq hardware can also be reached through the google cloud marketplace listing see the cirq reference and the cirq hello world tutorial pip install cirq ionq 5 apply for research credits academic researchers and students can apply for free qpu time via the ionq research program credits are awarded based on research merit pricing access costs across providers ionq hardware is available through multiple cloud providers each with different pricing models costs are incurred per shot measurement and sometimes per task job submission aws braket per shot per task 0 30 per task plus 0 08 per shot on ionq forte per the aws braket pricing page free tier 1 hour of simulator time per month during your first 12 months simulator only view pricing details azure quantum credits pay per use first time users receive 500 usd in azure quantum credits per participating provider ionq hardware is billed in azure quantum tokens calculated from gate shots after credits are exhausted view pricing details google cloud pay per shot available via google cloud marketplace and billed through your google cloud account see the marketplace listing for current rates requires google cloud billing account view pricing details ionq cloud free credits for researchers ionq offers free qpu credits for academic researchers and students via the ionq research program apply directly view pricing details cost tip run development and debugging on the ionq simulator available via all providers at much lower cost or free before submitting to qpu hardware simulators accurately model ionq noise characteristics up to about 25 qubits learning resources tutorials and reference docs relevant tutorials hello world with amazon braket submit your first circuit to ionq via braket getting started with amazon braket devices tasks results and pricing walkthrough hello world with cirq use cirq to target ionq via google cloud ionq quantum certification does ionq offer a certification current status and what to learn instead framework references amazon braket reference sdk api devices hybrid jobs cirq reference google s quantum sdk with ionq backend support 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 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