ABS3 Solver Usage
Solving an expression f using the ABS3 Solver involves the following three steps:
- Create an ABS3 Solver (or
qbpp::abs3_solver::ABS3Solver) object for the expressionf. - Call the
search()member function, passing parameters as an initializer list. It returns the obtained solution.
Solving LABS problem using the ABS3 Solver
The following QUBO++ program solves the Low Autocorrelation Binary Sequence (LABS) problem using the ABS3 Solver:
#include <qbpp/qbpp.hpp>
#include <qbpp/abs3_solver.hpp>
int main() {
const size_t size = 100;
auto x = qbpp::var("x", size);
auto f = qbpp::expr();
for (size_t d = 1; d < size; ++d) {
auto temp = qbpp::expr();
for (size_t i = 0; i < size - d; ++i) {
temp += (2 * x[i] - 1) * (2 * x[i + d] - 1);
}
f += qbpp::sqr(temp);
}
f.simplify_as_binary();
auto solver = qbpp::abs3_solver::ABS3Solver(f);
auto sol = solver.search({{"time_limit", 10.0}, {"enable_default_callback", 1}});
std::cout << sol.energy() << ": ";
for (auto val : sol(x)) {
std::cout << (val == 0 ? "-" : "+");
}
std::cout << std::endl;
}
In this program, an ABS3 Solver object solver is first created for the expression f. The search() member function is then called with parameters passed as an initializer list. The time_limit option specifies the maximum search time in seconds, while enable_default_callback enables a built-in callback function that prints the energy and TTS of newly found best solutions during the search. This function returns the best solution found within the given time limit, which is stored in sol.
The program prints the energy of the solution and the corresponding binary sequence, where “+” represents 1 and “-“ represents 0.
This program produces the following output:
TTS = 0.002s Energy = 1218
TTS = 0.002s Energy = 1170
TTS = 0.002s Energy = 994
TTS = 0.015s Energy = 958
TTS = 0.018s Energy = 922
TTS = 0.034s Energy = 874
TTS = 4.364s Energy = 834
834: -+--+---++-++-+---++-++--+++--+-+-+++++----+++-+-+---++-+--+-----+--+----++----+-+--++++++---+------
ABS3 Solver object
An ABS3 Solver (or qbpp::abs3_solver::ABS3Solver) object is created for a given expression. When the solver object is constructed, the expression is converted into an internal data format and loaded into GPU memory. An optional second argument gpu controls GPU usage:
qbpp::abs3_solver::ABS3Solver(expression): Automatically uses all available GPUs. If no GPU is available, falls back to CPU-only mode.qbpp::abs3_solver::ABS3Solver(expression, 0): Forces CPU-only mode (no GPU is used).qbpp::abs3_solver::ABS3Solver(expression, n): UsesnGPUs.
Search parameters are passed directly to search() as an initializer list of key-value pairs. In the example above:
"time_limit", 10.0: Sets the time limit to 10.0 seconds."enable_default_callback", 1: Enables the built-in callback function, which prints the energy of newly obtained solutions.
ABS3 Parameters
Parameters are passed directly to the search() method as an initializer list. In the program above, "time_limit", 10.0 sets the time limit to 10.0 seconds and "enable_default_callback", 1 enables the built-in callback function, which prints the energy of newly obtained solutions.
Basic Options
| Key | Value | Description |
|---|---|---|
time_limit | time limit in seconds | Terminates the search when the time limit is reached |
target_energy | target energy value | Terminates the search when the target energy is achieved |
Advanced Options
| Key | Value | Description |
|---|---|---|
enable_default_callback | “1” | Enables the built-in callback that prints energy and TTS |
cpu_enable | “0” or “1” | Enables/disables the CPU solver running alongside the GPU (default: “1”) |
cpu_thread_count | number of CPU threads | Number of CPU solver threads (default: auto) |
block_count | CUDA block count per GPU | Number of CUDA blocks launched by the solver kernel |
thread_count | thread count per CUDA block | Number of threads per CUDA block |
topk_sols | number of solutions | Returns the top-K solutions with the best energies |
best_energy_sols | max count (“0” = unlimited) | Returns all solutions with the best energy found |
Collecting Multiple Solutions
The ABS3 Solver can collect multiple solutions during the search. Two modes are available:
Top-K Solutions (topk_sols)
The topk_sols parameter collects the top-K solutions sorted by energy in ascending order.
auto result = solver.search({{"topk_sols", 10}}); // collect up to 10 best solutions
Best Energy Solutions (best_energy_sols)
The best_energy_sols parameter collects all solutions that share the best energy found. Whenever a better energy is discovered, the pool is cleared and only solutions with the new best energy are kept.
auto result = solver.search({{"best_energy_sols", 0}}); // collect all best-energy solutions (unlimited)
Alternatively, best_energy_sols can be set with a maximum count:
auto result = solver.search({{"best_energy_sols", 100}}); // collect up to 100
Note that topk_sols and best_energy_sols share the same internal pool. If both are specified, the last one takes effect.
Accessing Collected Solutions
The search() method returns an ABS3Sols object, which provides access to the collected solutions:
auto result = solver.search(params);
std::cout << "Best energy: " << result.energy() << std::endl;
std::cout << "Number of solutions: " << result.size() << std::endl;
for (const auto& sol : result.sols()) {
std::cout << "Energy = " << sol.energy() << " TTS = " << sol.tts() << "s" << std::endl;
}
The ABS3Sols object supports:
size()— number of collected solutionssols()/sols()— access the solution vectoroperator[](i)— access the i-th solution- Range-based for loop iteration
Custom Callback
The built-in callback (enabled by enable_default_callback) simply prints the energy and TTS whenever a new best solution is found. For more control, you can subclass ABS3Solver and override the callback() virtual method.
The callback is invoked with one of the following events:
| Event | Description |
|---|---|
CallbackEvent::Start | Called once at the beginning of search() |
CallbackEvent::BestUpdated | Called whenever a new best solution is found |
CallbackEvent::Timer | Called periodically at a configurable interval |
Inside the callback, the following methods are available:
best_sol()— returnsconst qbpp::Sol&to the current best solution. Use.energy(),.tts(),.get(var), etc.event()— returns the event that triggered this callbackhint(sol)— provides a hint solution to the solver during the search (see Solution Hint)
Timer Control
The Timer event is not enabled by default. To enable periodic timer callbacks, call timer(seconds) inside the callback() method:
timer(1.0)— fireTimercallbacks every 1 secondtimer(0)— disable the timer- If
timer()is not called, the timer interval remains unchanged.
Typically, timer() is called once during the Start callback to establish the interval. It can also be called during BestUpdated or Timer callbacks to adjust or disable the timer dynamically.
Example: Custom Callback
#include <qbpp/qbpp.hpp>
#include <qbpp/abs3_solver.hpp>
class MySolver : public qbpp::abs3_solver::ABS3Solver {
public:
using ABS3Solver::ABS3Solver;
void callback() const override {
if (event() == qbpp::abs3_solver::CallbackEvent::Start) {
timer(1.0); // enable timer callback every 1 second
}
if (event() == qbpp::abs3_solver::CallbackEvent::BestUpdated) {
std::cout << "New best: energy=" << best_sol().energy()
<< " TTS=" << best_sol().tts() << "s" << std::endl;
}
}
};
int main() {
auto x = qbpp::var("x", 8);
auto f = qbpp::sum(x) == 4;
f.simplify_as_binary();
auto solver = MySolver(f);
auto sol = solver.search({{"time_limit", 5}, {"target_energy", 0}});
std::cout << "energy=" << sol.energy() << std::endl;
}
Solution Hint
A hint solution allows warm-starting a search with a previously found solution.
The simplest way is to call params.hint(sol) before search():
params.hint(sol); // provide a hint solution for the search
auto result = solver.search(params);
The solution is written directly to the solver’s internal data structure before the search begins.
For advanced use cases such as running an external solver concurrently, you can also call hint(sol) during a callback to feed solutions dynamically. In this scenario, setting up a periodic timer (e.g., timer(1.0)) is recommended so that the callback is invoked regularly to check for new external solutions.
Example: Providing a Hint Solution
The following example solves a factorization problem twice. The first run finds the optimal solution normally. The second run provides the first solution as a hint via params.hint(sol), causing the solver to converge much faster.
#include <qbpp/qbpp.hpp>
#include <qbpp/abs3_solver.hpp>
int main() {
auto p = 2 <= qbpp::var_int("p") <= 1000;
auto q = 2 <= qbpp::var_int("q") <= 1000;
auto f = p * q == 899 * 997;
f.simplify_as_binary();
auto solver = qbpp::abs3_solver::ABS3Solver(f);
// Run 1: normal search
const auto sol1 = solver.search({{"target_energy", 0}, {"time_limit", 10}, {"enable_default_callback", 1}});
std::cout << "Run 1: p=" << sol1(p) << " q=" << sol1(q)
<< " energy=" << sol1.energy() << std::endl;
// Run 2: provide previous solution as a hint
qbpp::abs3_solver::Params params2({{"target_energy", 0}, {"time_limit", 10}, {"enable_default_callback", 1}});
params2.hint(sol1);
const auto sol2 = solver.search(params2);
std::cout << "Run 2: p=" << sol2(p) << " q=" << sol2(q)
<< " energy=" << sol2.energy()
<< " TTS=" << sol2.tts() << "s" << std::endl;
}
The hint solution is written directly to the solver’s internal data structure before the search begins. The solver evaluates its energy and uses it as the initial state, then continues searching for better solutions.