ProvideQ · Elscrux · Jan 15, 2026 · Oct 13, 2025 · Oct 29, 2025 · Nov 18, 2025
diff --git a/README.md b/README.md
@@ -86,6 +86,6 @@ To use this, enable GitHub Actions and configure the following secrets in the Gi
   3. Set `DOKKU_DEPLOYMENT_KEY` to the private key generated in step i.
 
 ## License
-Copyright (c) 2022 - 2023 ProvideQ
+Copyright (c) 2022 - 2026 ProvideQ
 
 This project is available under the [MIT License](./LICENSE).
diff --git a/scripts/setup-gams.sh b/scripts/setup-gams.sh
@@ -19,7 +19,7 @@ apt-get install curl --yes
 # iisaa/gams-docker (https://github.com/iiasa/gams-docker/blob/master/Dockerfile, GPL-3.0 licensed)
 
 # Configure the GAMS version here
-GAMS_VERSION_RELEASE_MAJOR=49.3
+GAMS_VERSION_RELEASE_MAJOR=49.7
 GAMS_VERSION_HOTFIX=0
 
 # download the self-extracting archive to /opt/gams/gams.exe and run/extract it

diff --git a/solvers/qiskit/knapsack/knapsack_qiskit.py b/solvers/qiskit/knapsack/knapsack_qiskit.py
@@ -2,12 +2,13 @@
 import sys
 
 # Qiskit
-from qiskit.primitives import Sampler
-from qiskit_algorithms.optimizers import COBYLA
+from qiskit.primitives import StatevectorSampler
+from qiskit_optimization.minimum_eigensolvers import QAOA
+from qiskit_optimization.optimizers import COBYLA
 from qiskit_optimization.algorithms import MinimumEigenOptimizer
 from qiskit_optimization.applications import Knapsack
 from qiskit_optimization.converters import QuadraticProgramToQubo
-from qiskit_algorithms import QAOA
+
 
 arg_count = len(sys.argv) - 1
 if arg_count != 2:
@@ -47,7 +48,7 @@
 # TODO: Sampler() has to be replaces with StatevectorSampler() in newer versions.
 # (currently not yet supported by qiskit-optimization)
 # TODO: add a dedicated mixer
-qaoa_mes = QAOA(sampler=Sampler(), optimizer=COBYLA())
+qaoa_mes = QAOA(sampler=StatevectorSampler(), optimizer=COBYLA())
 qaoa = MinimumEigenOptimizer(qaoa_mes)
 
 qaoa_result = qaoa.solve(qubo)

diff --git a/solvers/qiskit/knapsack/requirements.txt b/solvers/qiskit/knapsack/requirements.txt
@@ -1,4 +1,4 @@
 # This file describes the python package requirements for the Qiskit Knapsack solver
-qiskit == 1.4.2
-qiskit-optimization == 0.6.1
+qiskit == 2.2.3
+qiskit-optimization == 0.7.0
 
diff --git a/solvers/qiskit/materialsimulation/requirements.txt b/solvers/qiskit/materialsimulation/requirements.txt
@@ -1,3 +1,4 @@
-qiskit == 1.4.3
+qiskit == 1.0.2
+qiskit-algorithms == 0.3.1
 qiskit-nature == 0.7.2
 pyscf == 2.9.0
diff --git a/solvers/qiskit/max-cut/maxCut_qiskit.py b/solvers/qiskit/max-cut/maxCut_qiskit.py
@@ -16,10 +16,10 @@
 
 # Qiskit
 from qiskit.circuit.library import TwoLocal
-from qiskit.primitives import Sampler
+from qiskit.primitives import StatevectorSampler
 from qiskit_optimization.applications import Maxcut
-from qiskit_algorithms import SamplingVQE
-from qiskit_algorithms.optimizers import SPSA
+from qiskit_optimization.minimum_eigensolvers import SamplingVQE
+from qiskit_optimization.optimizers import SPSA
 
 
 #if len(sys.argv) != 3:
@@ -86,7 +86,7 @@
 # construct VQE
 optimizer=SPSA(maxiter=300)
 ry = TwoLocal(qubitOp.num_qubits, "ry", "cz", reps=5, entanglement="linear")
-vqe = SamplingVQE(sampler=Sampler(), ansatz=ry, optimizer=optimizer)
+vqe = SamplingVQE(sampler=StatevectorSampler(), ansatz=ry, optimizer=optimizer)
 
 # run VQE
 result = vqe.compute_minimum_eigenvalue(qubitOp)

diff --git a/solvers/qiskit/max-cut/requirements.txt b/solvers/qiskit/max-cut/requirements.txt
@@ -1,6 +1,6 @@
 # This file describes the python package requirements for the Qiskit Max-Cut solver
 pygmlparser == 1.0.1
-qiskit == 1.4.2
-qiskit-optimization == 0.6.1
+qiskit == 2.2.3
+qiskit-optimization == 0.7.0
 numpy
 networkx
diff --git a/solvers/qiskit/qubo/qubo_qiskit.py b/solvers/qiskit/qubo/qubo_qiskit.py
@@ -1,9 +1,9 @@
 import sys
 from qp_converter import QpConverter
 
-from qiskit.primitives import Sampler
-from qiskit_algorithms import QAOA
-from qiskit_algorithms.optimizers import COBYLA
+from qiskit.primitives import StatevectorSampler
+from qiskit_optimization.minimum_eigensolvers import QAOA
+from qiskit_optimization.optimizers import COBYLA
 from qiskit_optimization.algorithms import MinimumEigenOptimizer
 
 if len(sys.argv) != 3:
@@ -19,7 +19,7 @@
 # TODO: Sampler() has to be replaces with StatevectorSampler() in newer versions.
 # (currently not yet supported by qiskit-optimization)
 # TODO: add a dedicated mixer
-qaoa_mes = QAOA(sampler=Sampler(), optimizer=COBYLA())
+qaoa_mes = QAOA(sampler=StatevectorSampler(), optimizer=COBYLA())
 qaoa = MinimumEigenOptimizer(qaoa_mes)
 
 qaoa_result = qaoa.solve(qubo)

diff --git a/solvers/qiskit/qubo/requirements.txt b/solvers/qiskit/qubo/requirements.txt
@@ -1,3 +1,3 @@
 # This file describes the python package requirements for the Qiskit QUBO solver
-qiskit == 1.4.2
-qiskit-optimization == 0.6.1
+qiskit == 2.2.3
+qiskit-optimization == 0.7.0
diff --git a/solvers/qrisp/qubo/requirements.txt b/solvers/qrisp/qubo/requirements.txt
@@ -1,4 +1,5 @@
 # This file describes the python package requirements for the Qrisp QUBO solver
 qrisp == 0.4.4
 numpy == 1.26.4
-gurobipy == 11.0.1 # for lp file reading
+gurobipy == 13 # for lp file reading
+sympy == 1.12.1 # needed but not specified in qrisp requirements
diff --git a/solvers/qrisp/sat/requirements.txt b/solvers/qrisp/sat/requirements.txt
@@ -1,3 +1,4 @@
 # This file describes the python package requirements for the Qrisp SAT solver
 qrisp == 0.4.4
-numpy == 1.26.4
+numpy == 1.26.4
+sympy == 1.12.1 # needed but not specified in qrisp requirements
diff --git a/solvers/qrisp/vrp/requirements.txt b/solvers/qrisp/vrp/requirements.txt
@@ -1,4 +1,5 @@
 # This file describes the python package requirements for the Qrisp VRP solver
 qrisp == 0.4.4
 numpy == 1.26.4
-tsplib95 == 0.7.1 # for tsplib file parsing
+tsplib95 == 0.7.1 # for tsplib file parsing
+sympy == 1.12.1 # needed but not specified in qrisp requirements