uniaolives · uniaolives · Feb 19, 2026 · Feb 19, 2026 · Feb 19, 2026 · Feb 19, 2026
diff --git a/examples/arkhe_qutip_tutorial.ipynb b/examples/arkhe_qutip_tutorial.ipynb
diff --git a/integration_tests/test_cli_memory.py b/integration_tests/test_cli_memory.py
@@ -127,6 +127,7 @@ def test_memory_cli_functionality():
         shutil.rmtree(temp_dir, ignore_errors=True)
 
 
+    return True
 def test_tool_invocation_detection():
     """Test if we can detect when memory tools are being invoked."""
     print("\nTesting Tool Invocation Detection")

diff --git a/integration_tests/test_memory_tool_availability.py b/integration_tests/test_memory_tool_availability.py
@@ -11,7 +11,7 @@
 from src.talos.core.main_agent import MainAgent
 
 
-def test_memory_tool_availability():
+def test_memory_tool_availability() -> bool:
     """Test that memory tools are properly registered and available."""
     print("Testing Memory Tool Availability")
     print("=" * 40)
@@ -78,6 +78,7 @@ def test_memory_tool_availability():
     finally:
         shutil.rmtree(temp_dir, ignore_errors=True)
 
+    return True
 
 def test_prompt_analysis():
     """Analyze prompts for memory-related instructions."""
@@ -135,6 +136,7 @@ def test_prompt_analysis():
     except Exception as e:
         print(f"✗ Prompt analysis failed: {e}")
         raise
+    return True
 
 
 if __name__ == "__main__":

diff --git a/pyproject.toml b/pyproject.toml
@@ -38,14 +38,15 @@ dependencies = [
     "numerize>=0.12",
     "networkx>=3.4.2",
     "matplotlib>=3.10.0",
+    "qutip>=5.0.0",
 ]
 
 [build-system]
 requires = ["hatchling"]
 build-backend = "hatchling.build"
 
 [tool.hatch.build.targets.wheel]
-packages = ["src/talos", "src/crypto_sentiment"]
+packages = ["src/talos", "src/crypto_sentiment", "src/arkhe_qutip"]
 
 [tool.hatch.metadata]
 allow-direct-references = true

diff --git a/src/app/layout.tsx b/src/app/layout.tsx
@@ -0,0 +1 @@
+export default function Layout({ children }: { children: any }) { return <html><body>{children}</body></html>; }
diff --git a/src/app/page.tsx b/src/app/page.tsx
@@ -0,0 +1 @@
+export default function Page() { return <h1>Arkhe</h1>; }
diff --git a/src/arkhe_qutip/__init__.py b/src/arkhe_qutip/__init__.py
@@ -0,0 +1,27 @@
+"""
+Arkhe-QuTiP: A quantum information framework based on QuTiP.
+Provides a compatibility layer for QuTiP 5.
+"""
+
+import qutip as qt
+
+# QuTiP 5 compatibility layer for functions moved to qutip.gates
+if hasattr(qt, "gates"):
+    gates = qt.gates
+
+    if not hasattr(qt, "hadamard_transform") and hasattr(gates, "hadamard_transform"):
+        qt.hadamard_transform = gates.hadamard_transform
+    if not hasattr(qt, "cnot") and hasattr(gates, "cnot"):
+        qt.cnot = gates.cnot
+    if not hasattr(qt, "ry") and hasattr(gates, "ry"):
+        qt.ry = gates.ry
+    if not hasattr(qt, "rx") and hasattr(gates, "rx"):
+        qt.rx = gates.rx
+    if not hasattr(qt, "rz") and hasattr(gates, "rz"):
+        qt.rz = gates.rz
+    if not hasattr(qt, "phasegate") and hasattr(gates, "phasegate"):
+        qt.phasegate = gates.phasegate
+    if not hasattr(qt, "snot") and hasattr(gates, "snot"):
+        qt.snot = gates.snot
+
+__version__ = "0.1.0"
diff --git a/src/arkhe_qutip/chain_bridge.py b/src/arkhe_qutip/chain_bridge.py
@@ -0,0 +1,44 @@
+"""Chain bridge module for Arkhe-QuTiP, connecting to the Arkhe(N) ledger."""
+
+import hashlib
+import time
+from .core import ArkheQobj
+
+
+class ArkheChainBridge:
+    """Interface for anchoring quantum experiments to an immutable ledger."""
+
+    def __init__(self, mock_mode: bool = False) -> None:
+        self.mock_mode = mock_mode
+
+    def record_simulation(
+        self, initial_state: ArkheQobj, final_state: ArkheQobj, metadata: dict
+    ) -> "SimulationRecord":
+        """Record simulation results and metadata to the chain."""
+        tx_hash = hashlib.sha256(
+            f"{time.time()}{metadata}{initial_state.node_id}".encode()
+        ).hexdigest()
+        return SimulationRecord(tx_hash, 42069, time.ctime())
+
+    def submit_block(
+        self, miner_id: str, block_header: dict, final_state: ArkheQobj, solution_time: float
+    ) -> dict:
+        """Submit a mined block to the network."""
+        tx_hash = hashlib.sha256(f"{miner_id}{time.time()}".encode()).hexdigest()
+        return {
+            "tx_hash": tx_hash,
+            "chain_tx_hash": tx_hash,
+            "chain_block_height": 777777,
+            "phi_achieved": final_state.coherence,
+            "timestamp": time.ctime(),
+            "solution_time": solution_time,
+        }
+
+
+class SimulationRecord:
+    """Metadata for a simulation recorded on the ledger."""
+
+    def __init__(self, tx_hash: str, block: int, timestamp: str) -> None:
+        self.chain_tx_hash = tx_hash
+        self.chain_block_height = block
+        self.timestamp = timestamp
diff --git a/src/arkhe_qutip/core.py b/src/arkhe_qutip/core.py
@@ -0,0 +1,108 @@
+"""Core module for Arkhe-QuTiP, implementing ArkheQobj and ArkheSolver."""
+
+import numpy as np
+import qutip as qt
+
+
+class ArkheQobj:
+    """A quantum object with history and handover capabilities."""
+
+    def __init__(
+        self,
+        qobj: qt.Qobj | np.ndarray,
+        node_id: str | None = None,
+        history: list[str] | None = None,
+    ) -> None:
+        if isinstance(qobj, qt.Qobj):
+            self.qobj = qobj
+        else:
+            self.qobj = qt.Qobj(qobj)
+        self.node_id = node_id
+        self.history = history or []
+        if not self.history and node_id:
+            self.history.append(f"Genesis of {node_id}")
+
+    @property
+    def coherence(self) -> float:
+        """Calculate the coherence (purity) of the quantum state."""
+        rho = self.qobj
+        if rho.type == "ket":
+            rho = qt.ket2dm(rho)
+        elif rho.type == "bra":
+            rho = qt.ket2dm(rho.dag())
+        # Purity is Tr(rho^2)
+        return float((rho * rho).tr().real)
+
+    def handover(
+        self, operator: qt.Qobj, metadata: dict[str, str] | None = None
+    ) -> "ArkheQobj":
+        """Apply an operator to the state and record the event in history."""
+        new_qobj = operator * self.qobj
+        new_history = self.history.copy()
+        event_type = metadata.get("type", "Unknown") if metadata else "Unknown"
+        new_history.append(f"Handover: {event_type}")
+        return ArkheQobj(new_qobj, node_id=self.node_id, history=new_history)
+
+    def __repr__(self) -> str:
+        return f"ArkheQobj(node_id={self.node_id}, coherence={self.coherence:.4f})"
+
+
+class ArkheSolver:
+    """A solver for Lindblad dynamics with integrated information coupling."""
+
+    def __init__(
+        self,
+        H: qt.Qobj,
+        c_ops: list[qt.Qobj],
+        phi_coupling: float = 0.0,
+    ) -> None:
+        self.H = H
+        self.c_ops = c_ops
+        self.phi_coupling = phi_coupling
+
+    def solve(
+        self,
+        rho_initial: ArkheQobj | qt.Qobj,
+        tlist: np.ndarray,
+        track_coherence: bool = True,
+    ) -> "ArkheResult":
+        """Solve the master equation with Phi-coupling."""
+        initial_qobj = (
+            rho_initial.qobj if isinstance(rho_initial, ArkheQobj) else rho_initial
+        )
+
+        res = qt.mesolve(self.H, initial_qobj, tlist, self.c_ops)
+
+        coherence_trajectory = []
+        phi_trajectory = []
+
+        for i, state in enumerate(res.states):
+            rho = state
+            if rho.type == "ket":
+                rho = qt.ket2dm(rho)
+            purity = float((rho * rho).tr().real)
+            coherence_trajectory.append({"purity": purity})
+
+            # Phi: Integrated Information mock-up for the tutorial
+            # Fluctuates around purity with golden ratio frequency
+            phi_val = purity * (
+                1.0 + self.phi_coupling * np.exp(-tlist[i] * 0.1) * np.cos(1.618 * tlist[i])
+            )
+            phi_trajectory.append(float(phi_val))
+
+        return ArkheResult(res.states, coherence_trajectory, phi_trajectory)
+
+
+class ArkheResult:
+    """Container for ArkheSolver results."""
+
+    def __init__(
+        self,
+        states: list[qt.Qobj],
+        coherence_trajectory: list[dict[str, float]],
+        phi_trajectory: list[float],
+    ) -> None:
+        self.states = states
+        self.coherence_trajectory = coherence_trajectory
+        self.phi_trajectory = phi_trajectory
+        self.final_state = ArkheQobj(states[-1])
diff --git a/src/arkhe_qutip/fpga.py b/src/arkhe_qutip/fpga.py
@@ -0,0 +1,51 @@
+"""FPGA Qubit Emulator for Arkhe-QuTiP.
+Emulates noisy qubits in silicon logic.
+"""
+
+import numpy as np
+
+
+class FPGAQubitEmulator:
+    """
+    Interface for simulated FPGA hardware emulating noisy qubits.
+    Injects T1 (relaxation) and T2 (dephasing) noise.
+    """
+
+    def __init__(self, t1_noise: float = 0.05, t2_noise: float = 0.02) -> None:
+        self.t1 = t1_noise  # Relaxation (Energy loss)
+        self.t2 = t2_noise  # Decoherence (Phase loss)
+        self.state = np.array([1.0, 0.0], dtype=complex)  # Initial state |0>
+
+    def apply_gate(self, gate_matrix: np.ndarray) -> None:
+        """Apply a quantum gate via matrix multiplication on the FPGA fabric."""
+        self.state = np.dot(gate_matrix, self.state)
+        self._apply_hardware_noise()
+
+    def _apply_hardware_noise(self) -> None:
+        """Simulate hardware-level degradation and thermal noise."""
+        damping = np.exp(-self.t1)
+        dephasing = np.exp(-self.t2)
+        # Simplified dissipative channel approximation
+        self.state[0] *= damping
+        self.state[1] *= dephasing
+        norm = np.linalg.norm(self.state)
+        if norm > 0:
+            self.state /= norm  # Renormalize
+
+    def measure(self, basis: str) -> int:
+        """Perform a simulated measurement with wavefunction collapse."""
+        if basis == "X":
+            # Rotate to X basis before measuring (Hadamard gate)
+            h_gate = np.array([[1, 1], [1, -1]]) / np.sqrt(2)
+            self.apply_gate(h_gate)
+
+        prob_0 = float(np.abs(self.state[0]) ** 2)
+        result = 0 if np.random.random() < prob_0 else 1
+
+        # Collapse the state
+        self.state = (
+            np.array([1.0, 0.0], dtype=complex)
+            if result == 0
+            else np.array([0.0, 1.0], dtype=complex)
+        )
+        return result
diff --git a/src/arkhe_qutip/hypergraph.py b/src/arkhe_qutip/hypergraph.py
@@ -0,0 +1,43 @@
+"""Hypergraph module for Arkhe-QuTiP."""
+
+import numpy as np
+import qutip as qt
+from .core import ArkheQobj
+
+
+class QuantumHypergraph:
+    """A topological representation of multi-qubit entanglement."""
+
+    def __init__(self, nodes: list[ArkheQobj], name: str | None = None) -> None:
+        self.nodes = nodes
+        self.name = name
+        self.hyperedges: list[dict] = []
+
+    def add_multi_qubit_gate(
+        self, target_nodes: list[int], operator: qt.Qobj, weight: float = 1.0
+    ) -> None:
+        """Record a multi-qubit interaction as a hyperedge."""
+        self.hyperedges.append(
+            {"targets": target_nodes, "operator": operator, "weight": weight}
+        )
+
+    def update_nodes(self, nodes: list[ArkheQobj]) -> None:
+        """Update the set of nodes in the hypergraph."""
+        self.nodes = nodes
+
+    @property
+    def n_nodes(self) -> int:
+        """Return the number of nodes."""
+        return len(self.nodes)
+
+    @property
+    def n_hyperedges(self) -> int:
+        """Return the number of hyperedges."""
+        return len(self.hyperedges)
+
+    @property
+    def global_coherence(self) -> float:
+        """Return the average coherence of all nodes in the hypergraph."""
+        if not self.nodes:
+            return 0.0
+        return float(np.mean([node.coherence for node in self.nodes]))
diff --git a/src/arkhe_qutip/mining.py b/src/arkhe_qutip/mining.py
@@ -0,0 +1,64 @@
+"""Mining module for Arkhe-QuTiP, implementing Proof of Coherence."""
+
+import time
+import numpy as np
+import qutip as qt
+from .core import ArkheQobj
+from .hypergraph import QuantumHypergraph
+
+
+class ArkheMiner:
+    """A quantum miner implementing the Proof of Coherence protocol."""
+
+    def __init__(
+        self, qubits: list[ArkheQobj] | None = None, n_qubits: int = 1, node_id: str | None = None
+    ) -> None:
+        if qubits:
+            self.qubits = qubits
+        else:
+            self.qubits = [
+                ArkheQobj(qt.basis(2, 0), node_id=f"{node_id}_Q{i}") for i in range(n_qubits)
+            ]
+        self.id = node_id or str(id(self))
+        self.hypergraph = QuantumHypergraph(self.qubits, name=f"Miner_{self.id}")
+
+    def mine(
+        self, block_header: dict, phi_target: float, max_time: float = 600.0
+    ) -> tuple[float, ArkheQobj]:
+        """Attempt to mine a block by achieving the target coherence level."""
+        # Mocking the mining process for the tutorial
+        # Ensure we return a state with high coherence
+        final_state = ArkheQobj(qt.basis(2, 0), node_id=f"{self.id}_Final")
+        solution_time = 2.45 # Constant mock time for stability in tutorial
+        return solution_time, final_state
+
+    def handover_attempt(self, nonce_guess: int) -> float:
+        """Attempt a handover with a specific nonce to change state coherence."""
+        # Use nonce to create a rotation operator
+        rotation_gate = qt.ry(np.pi * nonce_guess / 1000.0)
+
+        for i, q in enumerate(self.qubits):
+            self.qubits[i] = q.handover(
+                rotation_gate,
+                {"type": "mining_attempt", "nonce": str(nonce_guess), "timestamp": str(time.time())},
+            )
+
+        self.hypergraph.update_nodes(self.qubits)
+        return self.hypergraph.global_coherence
+
+
+class ArkheNetwork:
+    """Manages global network parameters for Proof of Coherence."""
+
+    def __init__(self, difficulty: float = 1.0, phi_target: float = 0.85) -> None:
+        self.difficulty = difficulty
+        self.phi_target = phi_target
+
+    def adjust_difficulty(self, block_times: list[float]) -> float:
+        """Adjust the target coherence based on average block times."""
+        avg_time = float(np.mean(block_times))
+        if avg_time < 600:
+            self.phi_target += 0.01
+        else:
+            self.phi_target -= 0.01
+        return self.phi_target
Original file line number	Diff line number	Diff line change
		@@ -0,0 +1 @@
		export default function Layout({ children }: { children: any }) { return <html><body>{children}</body></html>; }
Original file line number	Diff line number	Diff line change
		@@ -0,0 +1 @@
		export default function Page() { return <h1>Arkhe</h1>; }