Quip Network vs Loops
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Quip Network compared with Loops
| Detail | 
Quip Network | 
Loops |
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| What it does | The worldwide quantum computer marketplace for accessing quantum processors on demand and earning by contributing compute
| Python SDK for LoRA fine-tuning with supervised fine-tuning and reinforcement learning
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
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| Pricing | Compute credits priced at spot rates: Intent solving 980 core hours = 3.10 QUIP; AI training 312 GPU hours = 4.68 QUIP; Hash mining 58 terahashes = 1.74 QUIP; Key recovery 9.2 qubit hours = 2.90 QUIP. Testnet participation earns QUIP.
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| Key features | - Access quantum processors on demand with pay-per-use credits
- Earn QUIP by contributing compute capacity on CPUs, GPUs, ASICs, or QPUs
- Post-quantum signature protection for blockchain assets
- XQuad Python SDK for modeling optimization problems
- Quantum virtual machine running on quantum annealers and gate-based systems
- Cross-chain quantum-protected swaps via QuipSwap
- Certified quantum randomness via QVRF
- Spot market clearinghouse matching buyers and sellers in real time
- ERC-4337 compatible smart accounts with audited contracts
| - forward_backward() operation for computing loss and accumulating gradients
- optim_step() for updating the adapter
- sample() for generating from current or saved policy
- save_state() to save and resume training state
- Tinker API compatibility
- Separate trainer and sampler resources
- Synchronous and asynchronous RL patterns
- Frozen base model weights with LoRA adapter updates
- Support for open models from Qwen, Google, DeepSeek, Moonshot AI, NVIDIA, and Z.ai
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| What makes it different | - Proof of useful work securing the blockchain by solving real optimization problems instead of arbitrary hashes
- Hybrid post-quantum signatures paired with existing ECDSA for additive security without degradation
- No-migration asset protection across Ethereum, Bitcoin L2s and EVM chains
- Enterprise privacy layer keeping data, algorithms and quantum usage off-chain
| - Managed training and sampling infrastructure, no setup required
- Tinker-compatible API for easy migration
- Ready-made SFT and RL recipes through Loops cookbook
- Support for vision-language models
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 38 ▲ +1 (up) since last check | 77 ● no change since last check |
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| Trust Flow (Majestic) | 14 | 13 |
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| Citation Flow (Majestic) | 33 | 43 |
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| Referring domains (Majestic) | 252 | 550 |
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3 details filled in for both companies.
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