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Overview
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Quantum computers are transforming research and industry, but they remain inaccessible to most innovators. Current barriers are severe: operational costs range from $5,000–$15,000 per hour, only a few hundred quantum systems exist globally, and wait times for access can span days or weeks. Researchers, startups, and academic teams cannot freely experiment with quantum algorithms because the cost and scarcity create prohibitive friction. This limits innovation to a small elite with institutional access.
A decentralized approach solves this. Instead of funneling all quantum compute requests through centralized providers, a distributed network can connect quantum processing unit (QPU) operators directly with users. By allowing QPU operators to contribute spare capacity and rewarding them fairly, supply increases without middleman markups. Users can submit quantum circuits and receive results without owning hardware or paying premium rates. Validators in the network verify execution quality and allocate rewards, ensuring honest participation.
Quantum Compute (Subnet 48) implements this model on Bittensor. QPU operators (miners) connect their quantum computers to the network. Researchers and developers (users) submit OpenQASM 2.0/3.0 quantum circuits through an interface managed by validators. The network executes circuits, returns results, and compensates operators fairly. Initially, basic quantum execution is free to users; premium features like priority execution and increased shot allocations are available at cost.
Academic researchers can test new quantum algorithms on real QPUs without maintaining expensive quantum hardware or negotiating institutional access agreements. Quantum algorithm developers can submit multiple circuit variations rapidly and iterate based on results, reducing time-to-insight from days to hours. Startups and companies can prototype quantum solutions before committing capital to on-premises quantum systems, de-risking quantum computing investment. Educators can provide students hands-on quantum computing experience by running student-designed circuits on real quantum processors at no cost. Data scientists can run hybrid quantum-classical workflows where quantum subroutines execute remotely while classical preprocessing and post-processing run locally.
Use cases were auto-generated from the GitHub repository and may not reflect the latest changes.
Quantum Compute (Subnet 48) is a decentralized quantum computing platform that leverages Bittensor's incentive mechanisms to make quantum computers accessible to users by connecting quantum processing unit (QPU) operators as miners with quantum computing users through validators. Miners must own or operate physical quantum computers capable of executing gate-based quantum circuits using OpenQASM 2.0/3.0, while validators manage the network, score miner performance, and distribute rewards.
The Quantum Compute subnet operates on a request-response architecture. Validators create quantum circuit execution requests (synapse objects) and query miners through the Dendrite. Miners receive requests through their Axon, validate the requester (blacklist checks), determine priority based on validator stake, and submit jobs to their quantum computers via a JobRegistry.
Miners store execution results in a local database and return finished results to validators in subsequent requests. Validators score miner responses using a Scorer component, manage miner relationships via MinerManager, and set weights on-chain via WeightSetter to determine token distribution. All components use a shared DatabaseManager for persistence and a RequestManager for telemetry and monitoring.
This information was auto-extracted from the GitHub repository and may be incomplete or out of date. Always refer to the subnet's GitHub repository for the latest instructions.
The Scorer processes miner responses and tracks execution performance including job completion, error rates, and timing. The WeightSetter computes weights based on historical performance and sets them on-chain. All incentive is forwarded to Open Quantum operators who convert alpha to USD to pay quantum computing providers.
Priority in request handling is based on validator stake in the network.
The sections above were auto-generated from the GitHub repository and may not reflect the latest changes. View repository
Quantum Computing
FAQs were auto-generated from the GitHub repository and may not reflect the latest changes.
Holder & total-staked metrics as of 1h ago (hourly snapshot)
Miners must own or operate a physical quantum computer capable of executing gate-based quantum circuits using OpenQASM 2.0/3.0, or have direct partnership with an operator. Hardware requirements depend on the specific QPU being provided. Contact [email protected] for onboarding.
Minimum storage: 80GB free space; Recommended storage: 100GB; Storage type: SSD preferred with minimum 1000 IOPS (5000+ recommended); RAM type: DDR4 minimum; Minimum swap: 4GB, Recommended swap: 8GB
Clone the Quantum Compute subnet repository
git clone <repository>
Install Python dependencies including Bittensor CLI and required libraries
pip install -r requirements.txt
Start the miner neuron after ensuring your quantum computer is accessible and configured
python neurons/miner.py --netuid 48
Complete the formal onboarding process with OpenQuantum to verify QPU access and establish partnership
Contact [email protected]
Clone the Quantum Compute subnet repository
git clone <repository>
Install Python dependencies including Bittensor CLI and required libraries
pip install -r requirements.txt
Start the validator neuron to begin scoring miners and distributing rewards
python neurons/validator.py --netuid 48
Refer to validator-specific documentation for advanced setup and configuration options(optional)
See qbittensor/validator/validator.md for detailed configuration
