With the amount of new subnets being added it can be hard to get up to date information across all subnets, so data may be slightly out of date from time to time
With the amount of new subnets being added it can be hard to get up to date information across all subnets, so data may be slightly out of date from time to time
Bittensor’s Subnet 63 – Quantum, is the first Bittensor subnet dedicated to quantum computing tasks. It functions as a decentralized marketplace for quantum circuit simulations within the Bittensor network. In essence, Quantum Subnet 63 bridges cutting-edge quantum computing technology with Bittensor’s decentralized AI framework. This allows participants (miners and validators) to contribute and utilize quantum computational power in a decentralized manner, despite current quantum hardware limitations.
At its core, Subnet 63 enables users to submit quantum circuits or algorithms to be executed by the network’s miners using classical hardware, leveraging advanced simulation techniques. The subnet “simulates” quantum computations – meaning it runs quantum algorithms on traditional computers using specialized software – and returns results as if a real quantum processor had run them. This effectively provides Quantum-Computing-as-a-Service on Bittensor: anyone connected to the network can request complex quantum circuit simulations, and distributed miners will perform those computations and earn TAO rewards for correct results. Validators in the subnet verify the fidelity of the simulations (for example, by statistical checks or cross-run comparisons) to ensure accuracy and consensus. By doing so, Subnet 63 opens the door for quantum algorithms and research to be crowd-powered and trustlessly executed via blockchain incentives, rather than relying on a single quantum lab or cloud provider.
Bittensor’s Subnet 63 – Quantum, is the first Bittensor subnet dedicated to quantum computing tasks. It functions as a decentralized marketplace for quantum circuit simulations within the Bittensor network. In essence, Quantum Subnet 63 bridges cutting-edge quantum computing technology with Bittensor’s decentralized AI framework. This allows participants (miners and validators) to contribute and utilize quantum computational power in a decentralized manner, despite current quantum hardware limitations.
At its core, Subnet 63 enables users to submit quantum circuits or algorithms to be executed by the network’s miners using classical hardware, leveraging advanced simulation techniques. The subnet “simulates” quantum computations – meaning it runs quantum algorithms on traditional computers using specialized software – and returns results as if a real quantum processor had run them. This effectively provides Quantum-Computing-as-a-Service on Bittensor: anyone connected to the network can request complex quantum circuit simulations, and distributed miners will perform those computations and earn TAO rewards for correct results. Validators in the subnet verify the fidelity of the simulations (for example, by statistical checks or cross-run comparisons) to ensure accuracy and consensus. By doing so, Subnet 63 opens the door for quantum algorithms and research to be crowd-powered and trustlessly executed via blockchain incentives, rather than relying on a single quantum lab or cloud provider.
the Quantum subnet leverages the “Quantum Rings” simulator, a proprietary high-fidelity quantum circuit simulation engine. This technology – developed by the qBitTensor Labs team – allows large-scale quantum circuits (with hundreds of qubits and millions of gate operations) to be run on classical GPU/CPU infrastructure with remarkable accuracy. For context, the Quantum Rings SDK has demonstrated the ability to simulate Google’s 53-qubit “quantum supremacy” circuits on a normal 32 GB machine, achieving higher fidelity (measured by XEB score) than the original quantum hardware experiment. In practical terms, Subnet 63 can handle complex quantum computing tasks – such as simulating quantum algorithms for optimization, cryptography, or physics research – and deliver results quickly, without needing an actual quantum computer. This empowers researchers and developers to tap into quantum computing potential today via Bittensor’s decentralized network.
Subnet 63 (Quantum) brings quantum computing capabilities to Bittensor. It provides a trustless, incentivized platform for running quantum simulations at scale, effectively allowing the community to democratize access to quantum compute resources. By marrying Bittensor’s open AI marketplace with state-of-the-art quantum simulation tech, Subnet 63 enables new kinds of AI models and computations (like quantum machine learning experiments, complex optimizations, etc.) to be performed collaboratively. This is a pioneering step that extends Bittensor beyond classical AI: Quantum is the first-ever quantum computing subnet on the network, unlocking quantum algorithms as a decentralized resource.
Quantum is essentially a technical integration of the Quantum Rings simulation platform into the Bittensor ecosystem. The “product” delivered by qBitTensor Labs is a specialized Bittensor subnet module (and associated software) that allows any Bittensor node to become a quantum simulation node. On a technical level, the team built a custom Bittensor server/miner codebase that interfaces with the Quantum Rings SDK (Software Development Kit). This code enables miners to interpret incoming tasks (which likely encode quantum circuits or queries) and run them through the Quantum Rings simulator locally. The simulator itself is highly optimized (featuring GPU acceleration and a tensor-network-based engine often referred to as “CUDA-Q” on the Quantum Rings website) to maximize performance. By integrating this into Bittensor, the build turns a network of volunteer nodes into a distributed quantum simulator cluster.
The technical architecture follows Bittensor’s standard subnet design: there are Miners (providers) and Validators (verifiers) within Subnet 63.
Miners (qBitTensor miners) run the Quantum Rings SDK and await “inference” requests that contain quantum circuit specifications. When a request comes (for example, a quantum algorithm that needs simulation), miners execute the circuit using their local compute, powered by the Quantum Rings engine. They produce results such as measurement outcomes or statevector amplitudes. Thanks to the Quantum Rings technology, these miners can handle circuits of significant size (e.g. dozens of qubits or more) with high fidelity – the simulations closely approximate ideal quantum hardware outcomes. The speed of simulation is also optimized; the engine can run hundreds of qubits worth of operations in a “reasonable timeframe” on commodity hardware, which is a breakthrough compared to traditional simulators.
Validators in the subnet receive responses from multiple miners and perform consensus checks. They might compare results from different miners for consistency or run partial verifications themselves. For example, if several miners simulate the same circuit, the validators can check that the statistical distribution of outputs matches within expected variance (a hallmark of quantum computation). The Bittensor framework likely rewards miners whose outputs pass validation and penalizes those that deviate, thereby incentivizing accurate simulations. This creates a competitive yet cooperative environment where only high-quality, correct quantum computations are accepted – an essential feature given the probabilistic nature of quantum algorithms.
The product also includes any necessary developer interfaces. Given that Quantum Rings is Qiskit-compatible (as noted on their site), developers or other subnets can presumably submit circuits in standard formats (like Qiskit quantum circuit descriptions or Quiskit’s Intermediate Representation) to Subnet 63. The qBitTensor Labs team might provide an API or example client code to help users dispatch quantum tasks onto the Bittensor network. Essentially, the build transforms Quantum Rings’ simulator into a decentralized web service: instead of calling an API on a cloud simulator, a user would call the Bittensor network (Subnet 63), which then routes the job to available miners.
Security and performance are key focuses of the build. Quantum circuits can be heavy to simulate, so the system likely monitors resource usage and may limit circuit size per request to ensure that miners can handle them (for instance, not every miner might simulate a 100-qubit circuit in reasonable time). By having a market, the more powerful miners (with better GPUs or more RAM) will naturally earn more (since they return higher-quality results faster), thereby allocating quantum compute tasks efficiently to those best equipped – a market-driven approach. This aligns with Bittensor’s design of rewarding useful work with TAO tokens.
In summary, the “product” is a decentralized quantum computation subnet. It includes the necessary blockchain logic, miner software, and validator mechanisms to make quantum simulation a plug-and-play part of Bittensor. On launch, qBitTensor Labs will release the code (very likely open-source on their GitHub) and documentation for the community. By installing this, any participant can join Subnet 63 to either offer their computing power (to simulate quantum circuits and earn rewards) or utilize the network’s quantum simulation capacity for their own AI applications. The hallmark of this build is its unprecedented capability: bringing quantum simulation “to the masses” via decentralized infrastructure, effectively “democratizing quantum computing” through Bittensor.
the Quantum subnet leverages the “Quantum Rings” simulator, a proprietary high-fidelity quantum circuit simulation engine. This technology – developed by the qBitTensor Labs team – allows large-scale quantum circuits (with hundreds of qubits and millions of gate operations) to be run on classical GPU/CPU infrastructure with remarkable accuracy. For context, the Quantum Rings SDK has demonstrated the ability to simulate Google’s 53-qubit “quantum supremacy” circuits on a normal 32 GB machine, achieving higher fidelity (measured by XEB score) than the original quantum hardware experiment. In practical terms, Subnet 63 can handle complex quantum computing tasks – such as simulating quantum algorithms for optimization, cryptography, or physics research – and deliver results quickly, without needing an actual quantum computer. This empowers researchers and developers to tap into quantum computing potential today via Bittensor’s decentralized network.
Subnet 63 (Quantum) brings quantum computing capabilities to Bittensor. It provides a trustless, incentivized platform for running quantum simulations at scale, effectively allowing the community to democratize access to quantum compute resources. By marrying Bittensor’s open AI marketplace with state-of-the-art quantum simulation tech, Subnet 63 enables new kinds of AI models and computations (like quantum machine learning experiments, complex optimizations, etc.) to be performed collaboratively. This is a pioneering step that extends Bittensor beyond classical AI: Quantum is the first-ever quantum computing subnet on the network, unlocking quantum algorithms as a decentralized resource.
Quantum is essentially a technical integration of the Quantum Rings simulation platform into the Bittensor ecosystem. The “product” delivered by qBitTensor Labs is a specialized Bittensor subnet module (and associated software) that allows any Bittensor node to become a quantum simulation node. On a technical level, the team built a custom Bittensor server/miner codebase that interfaces with the Quantum Rings SDK (Software Development Kit). This code enables miners to interpret incoming tasks (which likely encode quantum circuits or queries) and run them through the Quantum Rings simulator locally. The simulator itself is highly optimized (featuring GPU acceleration and a tensor-network-based engine often referred to as “CUDA-Q” on the Quantum Rings website) to maximize performance. By integrating this into Bittensor, the build turns a network of volunteer nodes into a distributed quantum simulator cluster.
The technical architecture follows Bittensor’s standard subnet design: there are Miners (providers) and Validators (verifiers) within Subnet 63.
Miners (qBitTensor miners) run the Quantum Rings SDK and await “inference” requests that contain quantum circuit specifications. When a request comes (for example, a quantum algorithm that needs simulation), miners execute the circuit using their local compute, powered by the Quantum Rings engine. They produce results such as measurement outcomes or statevector amplitudes. Thanks to the Quantum Rings technology, these miners can handle circuits of significant size (e.g. dozens of qubits or more) with high fidelity – the simulations closely approximate ideal quantum hardware outcomes. The speed of simulation is also optimized; the engine can run hundreds of qubits worth of operations in a “reasonable timeframe” on commodity hardware, which is a breakthrough compared to traditional simulators.
Validators in the subnet receive responses from multiple miners and perform consensus checks. They might compare results from different miners for consistency or run partial verifications themselves. For example, if several miners simulate the same circuit, the validators can check that the statistical distribution of outputs matches within expected variance (a hallmark of quantum computation). The Bittensor framework likely rewards miners whose outputs pass validation and penalizes those that deviate, thereby incentivizing accurate simulations. This creates a competitive yet cooperative environment where only high-quality, correct quantum computations are accepted – an essential feature given the probabilistic nature of quantum algorithms.
The product also includes any necessary developer interfaces. Given that Quantum Rings is Qiskit-compatible (as noted on their site), developers or other subnets can presumably submit circuits in standard formats (like Qiskit quantum circuit descriptions or Quiskit’s Intermediate Representation) to Subnet 63. The qBitTensor Labs team might provide an API or example client code to help users dispatch quantum tasks onto the Bittensor network. Essentially, the build transforms Quantum Rings’ simulator into a decentralized web service: instead of calling an API on a cloud simulator, a user would call the Bittensor network (Subnet 63), which then routes the job to available miners.
Security and performance are key focuses of the build. Quantum circuits can be heavy to simulate, so the system likely monitors resource usage and may limit circuit size per request to ensure that miners can handle them (for instance, not every miner might simulate a 100-qubit circuit in reasonable time). By having a market, the more powerful miners (with better GPUs or more RAM) will naturally earn more (since they return higher-quality results faster), thereby allocating quantum compute tasks efficiently to those best equipped – a market-driven approach. This aligns with Bittensor’s design of rewarding useful work with TAO tokens.
In summary, the “product” is a decentralized quantum computation subnet. It includes the necessary blockchain logic, miner software, and validator mechanisms to make quantum simulation a plug-and-play part of Bittensor. On launch, qBitTensor Labs will release the code (very likely open-source on their GitHub) and documentation for the community. By installing this, any participant can join Subnet 63 to either offer their computing power (to simulate quantum circuits and earn rewards) or utilize the network’s quantum simulation capacity for their own AI applications. The hallmark of this build is its unprecedented capability: bringing quantum simulation “to the masses” via decentralized infrastructure, effectively “democratizing quantum computing” through Bittensor.
The ultimate objective of this subnet is to create accessible and decentralized quantum computing for any quantum task. Achieving this goal involves several steps, and along the way, we may encounter unexpected challenges. Initially, we will focus on problems that are uniquely suited to both the Bittensor community and the quantum space in which they exist, with a roadmap designed to continuously evolve toward the ultimate objective.
Phase 1: Provable Accuracy
In the first phase of the Quantum subnet, the primary focus will be verifiability. As such, phase 1 will address a select group of problems in the quantum space, each possessing four key characteristics:
Randomizability: Validators must be able to generate an endless supply of unique circuits for miners.
Verifiability: The emphasis in this phase will be on accurately executing circuits, not on proving execution. Our problems are designed with clear right and wrong answers.
Scalability: The circuits must be solvable by miners consistently, while remaining adaptable to explore the limits of what’s achievable.
Unbreachability: These circuits must resist shortcuts. Although we encourage innovation in the execution pipeline, including pre- and post-processing of circuits or results, our problems are designed in a way that they can only be solved using quantum methods.
Initial Steps in Phase 1:
July 7, 2025: Peaked Circuits — More details to follow in the next section.
Summer 2025: Gradually increasing the complexity of peaked circuits based on miner performance.
Late Summer 2025: Introducing additional benchmarks that meet the above criteria. (Details of the specific problems will remain confidential until closer to their launch.)
Phase 2: Synthesized Problems
In phase two, the subnet will shift from problems chosen solely for their verifiability, regardless of real-world relevance, to circuits that are synthesized around practical and diverse problems. These problems will be of varying sizes and may cover well-known areas of quantum algorithms, such as quantum cryptography, chemistry, finance, and more. This phase may also involve methods beyond the traditional circuit-based model!
Phase 3: Open Quantum Platform
The long-term vision is to transform into a decentralized, all-encompassing quantum problem-solving platform. In the future, external users will be able to develop their own quantum problems and submit them to our network of solvers. Strong candidates will align with open research areas and contribute to the growth of the quantum technology sector.
We believe this approach is the most effective way to democratize access to distributed quantum computational power, leveraging advanced simulators and, eventually, real quantum processing units (QPUs) as they become more reliable and available.
The ultimate objective of this subnet is to create accessible and decentralized quantum computing for any quantum task. Achieving this goal involves several steps, and along the way, we may encounter unexpected challenges. Initially, we will focus on problems that are uniquely suited to both the Bittensor community and the quantum space in which they exist, with a roadmap designed to continuously evolve toward the ultimate objective.
Phase 1: Provable Accuracy
In the first phase of the Quantum subnet, the primary focus will be verifiability. As such, phase 1 will address a select group of problems in the quantum space, each possessing four key characteristics:
Randomizability: Validators must be able to generate an endless supply of unique circuits for miners.
Verifiability: The emphasis in this phase will be on accurately executing circuits, not on proving execution. Our problems are designed with clear right and wrong answers.
Scalability: The circuits must be solvable by miners consistently, while remaining adaptable to explore the limits of what’s achievable.
Unbreachability: These circuits must resist shortcuts. Although we encourage innovation in the execution pipeline, including pre- and post-processing of circuits or results, our problems are designed in a way that they can only be solved using quantum methods.
Initial Steps in Phase 1:
July 7, 2025: Peaked Circuits — More details to follow in the next section.
Summer 2025: Gradually increasing the complexity of peaked circuits based on miner performance.
Late Summer 2025: Introducing additional benchmarks that meet the above criteria. (Details of the specific problems will remain confidential until closer to their launch.)
Phase 2: Synthesized Problems
In phase two, the subnet will shift from problems chosen solely for their verifiability, regardless of real-world relevance, to circuits that are synthesized around practical and diverse problems. These problems will be of varying sizes and may cover well-known areas of quantum algorithms, such as quantum cryptography, chemistry, finance, and more. This phase may also involve methods beyond the traditional circuit-based model!
Phase 3: Open Quantum Platform
The long-term vision is to transform into a decentralized, all-encompassing quantum problem-solving platform. In the future, external users will be able to develop their own quantum problems and submit them to our network of solvers. Strong candidates will align with open research areas and contribute to the growth of the quantum technology sector.
We believe this approach is the most effective way to democratize access to distributed quantum computational power, leveraging advanced simulators and, eventually, real quantum processing units (QPUs) as they become more reliable and available.
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